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Radar
Radar
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A long-range radar antenna, known as ALTAIR, used to detect and track space objects in conjunction with ABM testing at the Ronald Reagan Test Site on Kwajalein Atoll.
Long-range radar antenna, used to track space objects and ballistic missiles.
Israeli military radar is typical of the type of radar used for air traffic control. The antenna rotates at a steady rate, sweeping the local airspace with a narrow vertical fan-shaped beam, to detect aircraft at all altitudes.
Radar of the type used for detection of aircraft. It rotates steadily, sweeping the airspace with a narrow beam.

Radar is a system that uses radio waves to determine the distance (ranging), direction (azimuth and elevation angles), and radial velocity of objects relative to the site. It is a radiodetermination method[1] used to detect and track aircraft, ships, spacecraft, guided missiles, motor vehicles, weather formations and terrain. The term RADAR was coined in 1940 by the United States Navy as an acronym for "radio detection and ranging".[2][3][4][5][6] The term radar has since entered English and other languages as an anacronym, a common noun, losing all capitalization.

A radar system consists of a transmitter producing electromagnetic waves in the radio or microwave domain, a transmitting antenna, a receiving antenna (often the same antenna is used for transmitting and receiving) and a receiver and processor to determine properties of the objects. Radio waves (pulsed or continuous) from the transmitter reflect off the objects and return to the receiver, giving information about the objects' locations and speeds. This device was developed secretly for military use by several countries in the period before and during World War II. A key development was the cavity magnetron in the United Kingdom, which allowed the creation of relatively small systems with sub-meter resolution.

The modern uses of radar are highly diverse, including air and terrestrial traffic control, radar astronomy, air-defense systems, anti-missile systems, marine radars to locate landmarks and other ships, aircraft anti-collision systems, ocean surveillance systems, outer space surveillance and rendezvous systems, meteorological precipitation monitoring, radar remote sensing, altimetry and flight control systems, guided missile target locating systems, self-driving cars, and ground-penetrating radar for geological observations. Modern high tech radar systems use digital signal processing and machine learning and are capable of extracting useful information from very high noise levels.

Other systems which are similar to radar make use of other regions of the electromagnetic spectrum. One example is lidar, which uses predominantly infrared light from lasers rather than radio waves. With the emergence of driverless vehicles, radar is expected to assist the automated platform to monitor its environment, thus preventing unwanted incidents.[7]

History

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First experiments

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As early as 1886, German physicist Heinrich Hertz showed that radio waves could be reflected from solid objects. In 1895, Alexander Popov, a physics instructor at the Imperial Russian Navy school in Kronstadt, developed an apparatus using a coherer tube for detecting distant lightning strikes. The next year, he added a spark-gap transmitter. In 1897, while testing this equipment for communicating between two ships in the Baltic Sea, he took note of an interference beat caused by the passage of a third vessel. In his report, Popov wrote that this phenomenon might be used for detecting objects, but he did nothing more with this observation.[8]

The German inventor Christian Hülsmeyer was the first to use radio waves to detect "the presence of distant metallic objects". In 1904, he demonstrated the feasibility of detecting a ship in dense fog, but not its distance from the transmitter.[9] He obtained a patent[10] for his detection device in April 1904 and later a patent[11] for a related amendment for estimating the distance to the ship. He also obtained a British patent on 23 September 1904[12] for a full radar system, that he called a telemobiloscope. It operated on a 50 cm wavelength and the pulsed radar signal was created via a spark-gap. His system already used the classic antenna setup of horn antenna with parabolic reflector and was presented to German military officials in practical tests in Cologne and Rotterdam harbour but was rejected.[13]

In 1915, Robert Watson-Watt used radio technology to provide advance warning of thunderstorms to airmen[14][15] and during the 1920s went on to lead the U.K. research establishment to make many advances using radio techniques, including the probing of the ionosphere and the detection of lightning at long distances. Through his lightning experiments, Watson-Watt became an expert on the use of radio direction finding before turning his inquiry to shortwave transmission. Requiring a suitable receiver for such studies, he told the "new boy" Arnold Frederic Wilkins to conduct an extensive review of available shortwave units. Wilkins would select a General Post Office model after noting its manual's description of a "fading" effect (the common term for interference at the time) when aircraft flew overhead.

By placing a transmitter and receiver on opposite sides of the Potomac River in 1922, U.S. Navy researchers A. Hoyt Taylor and Leo C. Young discovered that ships passing through the beam path caused the received signal to fade in and out. Taylor submitted a report, suggesting that this phenomenon might be used to detect the presence of ships in low visibility, but the Navy did not immediately continue the work. Eight years later, Lawrence A. Hyland at the Naval Research Laboratory (NRL) observed similar fading effects from passing aircraft; this revelation led to a patent application[16] as well as a proposal for further intensive research on radio-echo signals from moving targets to take place at NRL, where Taylor and Young were based at the time.[17]

Similarly, in the UK, L. S. Alder took out a secret provisional patent for Naval radar in 1928.[18] W.A.S. Butement and P. E. Pollard developed a breadboard test unit, operating at 50 cm (600 MHz) and using pulsed modulation which gave successful laboratory results. In January 1931, a writeup on the apparatus was entered in the Inventions Book maintained by the Royal Engineers. This is the first official record in Great Britain of the technology that was used in coastal defence and was incorporated into Chain Home as Chain Home (low).[19][20]

Before World War II

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Experimental radar antenna, US Naval Research Laboratory, Anacostia, D. C., from the late 1930s (photo taken in 1945)

Before World War II, researchers in the United Kingdom, France, Germany, Italy, Japan, the Netherlands,[21] the Soviet Union, and the United States, independently and in great secrecy, developed technologies that led to the modern version of radar. Australia, Canada, New Zealand, and South Africa followed prewar Great Britain's radar development, while Hungary and Sweden generated their radar technology during the war.[citation needed]

In France in 1934, following systematic studies on the split-anode magnetron, the research branch of the Compagnie générale de la télégraphie sans fil (CSF) headed by Maurice Ponte with Henri Gutton, Sylvain Berline and M. Hugon, began developing an obstacle-locating radio apparatus, aspects of which were installed on the ocean liner Normandie in 1935.[22][23]

During the same period, Soviet military engineer P.K. Oshchepkov, in collaboration with the Leningrad Electrotechnical Institute, produced an experimental apparatus, RAPID, capable of detecting an aircraft within 3 km of a receiver.[24] The Soviets produced their first mass production radars RUS-1 and RUS-2 Redut in 1939 but further development was slowed following the arrest of Oshchepkov and his subsequent gulag sentence. In total, only 607 Redut stations were produced during the war. The first Russian airborne radar, Gneiss-2, entered into service in June 1943 on Pe-2 dive bombers. More than 230 Gneiss-2 stations were produced by the end of 1944.[25] The French and Soviet systems, however, featured continuous-wave operation that did not provide the full performance ultimately synonymous with modern radar systems.

Full radar evolved as a pulsed system, and the first such elementary apparatus was demonstrated in December 1934 by the American Robert M. Page, working at the Naval Research Laboratory.[26] The following year, the United States Army successfully tested a primitive surface-to-surface radar to aim coastal battery searchlights at night.[27] This design was followed by a pulsed system demonstrated in May 1935 by Rudolf Kühnhold and the firm GEMA [de] in Germany and then another in June 1935 by an Air Ministry team led by Robert Watson-Watt in Great Britain.

The first workable unit built by Robert Watson-Watt and his team

In 1935, Watson-Watt was asked to judge recent reports of a German radio-based death ray and turned the request over to Wilkins. Wilkins returned a set of calculations demonstrating the system was basically impossible. When Watson-Watt then asked what such a system might do, Wilkins recalled the earlier report about aircraft causing radio interference. This revelation led to the Daventry Experiment of 26 February 1935, using a powerful BBC shortwave transmitter as the source and their GPO receiver setup in a field while a bomber flew around the site. When the plane was clearly detected, Hugh Dowding, the Air Member for Supply and Research, was very impressed with their system's potential and funds were immediately provided for further operational development.[28] Watson-Watt's team patented the device in patent GB593017.[29][30][31]

A Chain Home tower in Great Baddow, Essex, United Kingdom
Memorial plaque commemorating Robert Watson-Watt and Arnold Wilkins

Development of radar greatly expanded on 1 September 1936, when Watson-Watt became superintendent of a new establishment under the British Air Ministry, Bawdsey Research Station located in Bawdsey Manor, near Felixstowe, Suffolk. Work there resulted in the design and installation of aircraft detection and tracking stations called "Chain Home" along the East and South coasts of England in time for the outbreak of World War II in 1939. This system provided the vital advance information that helped the Royal Air Force win the Battle of Britain; without it, significant numbers of fighter aircraft, which Great Britain did not have available, would always have needed to be in the air to respond quickly. The radar formed part of the "Dowding system" for collecting reports of enemy aircraft and coordinating the response.

Given all required funding and development support, the team produced working radar systems in 1935 and began deployment. By 1936, the first five Chain Home (CH) systems were operational and by 1940 stretched across the entire UK including Northern Ireland. Even by standards of the era, CH was crude; instead of broadcasting and receiving from an aimed antenna, CH broadcast a signal floodlighting the entire area in front of it, and then used one of Watson-Watt's own radio direction finders to determine the direction of the returned echoes. This fact meant CH transmitters had to be much more powerful and have better antennas than competing systems but allowed its rapid introduction using existing technologies.

During World War II

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East Coast Chain Home radar operators in England

A key development was the cavity magnetron in the UK, which allowed the creation of relatively small systems with sub-meter resolution. Britain shared the technology with the U.S. during the 1940 Tizard Mission.[32][33]

In April 1940, Popular Science showed an example of a radar unit using the Watson-Watt patent in an article on air defence.[34] Also, in late 1941 Popular Mechanics had an article in which a U.S. scientist speculated about the British early warning system on the English east coast and came close to what it was and how it worked.[35] Watson-Watt was sent to the U.S. in 1941 to advise on air defense after Japan's attack on Pearl Harbor.[36] Alfred Lee Loomis organized the secret MIT Radiation Laboratory at Massachusetts Institute of Technology, Cambridge, Massachusetts which developed microwave radar technology in the years 1941–45. Later, in 1943, Page greatly improved radar with the monopulse technique that was used for many years in most radar applications.[37]

The war precipitated research to find better resolution, more portability, and more features for radar, including small, lightweight sets to equip night fighters (aircraft interception radar) and maritime patrol aircraft (air-to-surface-vessel radar), and complementary navigation systems like Oboe used by the RAF's Pathfinder.

Applications

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Commercial marine radar antenna. The rotating antenna radiates a vertical fan-shaped beam.

The information provided by radar includes the bearing and range (and therefore position) of the object from the radar scanner. It is thus used in many different fields where the need for such positioning is crucial. The first use of radar was for military purposes: to locate air, ground and sea targets. This evolved in the civilian field into applications for aircraft, ships, and automobiles.[38][39]

In aviation, aircraft can be equipped with radar devices that warn of aircraft or other obstacles in or approaching their path, display weather information, and give accurate altitude readings. The first commercial device fitted to aircraft was a 1938 Bell Lab unit on some United Air Lines aircraft.[35] Aircraft can land in fog at airports equipped with radar-assisted ground-controlled approach systems in which the plane's position is observed on precision approach radar screens by operators who thereby give radio landing instructions to the pilot, maintaining the aircraft on a defined approach path to the runway. Military fighter aircraft are usually fitted with air-to-air targeting radars, to detect and target enemy aircraft. In addition, larger specialized military aircraft carry powerful airborne radars to observe air traffic over a wide region and direct fighter aircraft towards targets.[40]

Marine radars are used to measure the bearing and distance of ships to prevent collision with other ships, to navigate, and to fix their position at sea when within range of shore or other fixed references such as islands, buoys, and lightships. In port or in harbour, vessel traffic service radar systems are used to monitor and regulate ship movements in busy waters.[41]

Meteorologists use radar to monitor precipitation and wind. It has become the primary tool for short-term weather forecasting and watching for severe weather such as thunderstorms, tornadoes, winter storms, precipitation types, etc. Geologists use specialized ground-penetrating radars to map the composition of Earth's crust. Police forces use radar guns to monitor vehicle speeds on the roads. Automotive radars are used for adaptive cruise control and emergency braking on vehicles by ignoring stationary roadside objects that could cause incorrect brake application and instead measuring moving objects to prevent collision with other vehicles. As part of Intelligent Transport Systems, fixed-position stopped vehicle detection (SVD) radars are mounted on the roadside to detect stranded vehicles, obstructions and debris by inverting the automotive radar approach and ignoring moving objects.[42] Smaller radar systems are used to detect human movement. Examples are breathing pattern detection for sleep monitoring[43] and hand and finger gesture detection for computer interaction.[44] Automatic door opening, light activation and intruder sensing are also common.

Principles

[edit]

Radar signal

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3D Doppler radar spectrum showing a Barker code of 13

A radar system has a transmitter that emits radio waves known as radar signals in predetermined directions. When these signals contact an object they are usually reflected or scattered in many directions, although some of them will be absorbed and penetrate into the target.[45] Radar signals are reflected especially well by materials of considerable electrical conductivity—such as most metals, seawater, and wet ground. This makes the use of radar altimeters possible in certain cases. The radar signals that are reflected back towards the radar receiver are the desirable ones that make radar detection work. If the object is moving either toward or away from the transmitter, there will be a slight change in the frequency of the radio waves due to the Doppler effect.

Radar receivers are usually, but not always, in the same location as the transmitter. The reflected radar signals captured by the receiving antenna are usually very weak. They can be strengthened by electronic amplifiers. More sophisticated methods of signal processing are also used in order to recover useful radar signals.

The weak absorption of radio waves by the medium through which they pass is what enables radar sets to detect objects at relatively long ranges—ranges at which other electromagnetic wavelengths, such as visible light, infrared light, and ultraviolet light, are too strongly attenuated. Weather phenomena, such as fog, clouds, rain, falling snow, and sleet, that block visible light are usually transparent to radio waves. Certain radio frequencies that are absorbed or scattered by water vapour, raindrops, or atmospheric gases (especially oxygen) are avoided when designing radars, except when their detection is intended.

Illumination

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Radar relies on its own transmissions rather than light from the Sun or the Moon, or from electromagnetic waves emitted by the target objects themselves, such as infrared radiation (heat). This process of directing artificial radio waves towards objects is called illumination, although radio waves are invisible to the human eye as well as optical cameras.

Reflection

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Brightness can indicate reflectivity as in this 1960 weather radar image (of Hurricane Abby). The radar's frequency, pulse form, polarization, signal processing, and antenna determine what it can observe.

If electromagnetic waves travelling through one material meet another material, having a different dielectric constant or diamagnetic constant from the first, the waves will reflect or scatter from the boundary between the materials. This means that a solid object in air or in a vacuum, or a significant change in atomic density between the object and what is surrounding it, will usually scatter radar (radio) waves from its surface. This is particularly true for electrically conductive materials such as metal and carbon fibre, making radar well-suited to the detection of aircraft and ships. Radar absorbing material, containing resistive and sometimes magnetic substances, is used on military vehicles to reduce radar reflection. This is the radio equivalent of painting something a dark colour so that it cannot be seen by the eye at night.

Radar waves scatter in a variety of ways depending on the size (wavelength) of the radio wave and the shape of the target. If the wavelength is much shorter than the target's size, the wave will bounce off in a way similar to the way light is reflected by a mirror. If the wavelength is much longer than the size of the target, the target may not be visible because of poor reflection. Low-frequency radar technology is dependent on resonances for detection, but not identification, of targets. This is described by Rayleigh scattering, an effect that creates Earth's blue sky and red sunsets. When the two length scales are comparable, there may be resonances. Early radars used very long wavelengths that were larger than the targets and thus received a vague signal, whereas many modern systems use shorter wavelengths (a few centimetres or less) that can image objects as small as a loaf of bread.

Short radio waves reflect from curves and corners in a way similar to glint from a rounded piece of glass. The most reflective targets for short wavelengths have 90° angles between the reflective surfaces. A corner reflector consists of three flat surfaces meeting like the inside corner of a cube. The structure will reflect waves entering its opening directly back to the source. They are commonly used as radar reflectors to make otherwise difficult-to-detect objects easier to detect. Corner reflectors on boats, for example, make them more detectable to avoid collision or during a rescue. For similar reasons, objects intended to avoid detection will not have inside corners or surfaces and edges perpendicular to likely detection directions, which leads to "odd" looking stealth aircraft. These precautions do not totally eliminate reflection because of diffraction, especially at longer wavelengths. Half wavelength long wires or strips of conducting material, such as chaff, are very reflective but do not direct the scattered energy back toward the source. The extent to which an object reflects or scatters radio waves is called its radar cross-section.

Radar range equation

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The power Pr returning to the receiving antenna is given by the equation:

where

  • Pt = transmitter power
  • Gt = gain of the transmitting antenna
  • Ar = effective aperture (area) of the receiving antenna; this can also be expressed as , where
  • = transmitted wavelength
  • Gr = gain of receiving antenna[45]: 4–6 
  • σ = radar cross section, or scattering coefficient, of the target
  • F = pattern propagation factor
  • Rt = distance from the transmitter to the target
  • Rr = distance from the target to the receiver.

In the common case where the transmitter and the receiver are at the same location, Rt = Rr and the term Rt² Rr² can be replaced by R4, where R is the range. This yields:

This shows that the received power declines as the fourth power of the range, which means that the received power from distant targets is relatively very small.

Additional filtering and pulse integration modifies the radar equation slightly for pulse-Doppler radar performance, which can be used to increase detection range and reduce transmit power.

The equation above with F = 1 is a simplification for transmission in a vacuum without interference. The propagation factor accounts for the effects of multipath and shadowing and depends on the details of the environment. In a real-world situation, pathloss effects are also considered.

Doppler effect

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Change of wavelength caused by motion of the source

Frequency shift is caused by motion that changes the number of wavelengths between the reflector and the radar. This can degrade or enhance radar performance depending upon how it affects the detection process. As an example, moving target indication can interact with Doppler to produce signal cancellation at certain radial velocities, which degrades performance.[45]: 10–11 

Sea-based radar systems, semi-active radar homing, active radar homing, weather radar, military aircraft, and radar astronomy rely on the Doppler effect to enhance performance. This produces information about target velocity during the detection process. This also allows small objects to be detected in an environment containing much larger nearby slow moving objects.

Doppler shift depends upon whether the radar configuration is active or passive. Active radar transmits a signal that is reflected back to the receiver. Passive radar depends upon the object sending a signal to the receiver.

The Doppler frequency shift for active radar is as follows, where is Doppler frequency, is transmit frequency, is radial velocity, and is the speed of light:[46]

.

Passive radar is applicable to electronic countermeasures and radio astronomy as follows:

.

Only the radial component of the velocity is relevant. When the reflector is moving at right angle to the radar beam, it has no relative velocity. Objects moving parallel to the radar beam produce the maximum Doppler frequency shift.

When the transmit frequency () is pulsed, using a pulse repeat frequency of , the resulting frequency spectrum will contain harmonic frequencies above and below with a distance of . As a result, the Doppler measurement is only non-ambiguous if the Doppler frequency shift is less than half of , called the Nyquist frequency, since the returned frequency otherwise cannot be distinguished from shifting of a harmonic frequency above or below, thus requiring:

Or when substituting with :

As an example, a Doppler weather radar with a pulse rate of 2 kHz and transmit frequency of 1 GHz can reliably measure weather speed up to at most 150 m/s (340 mph), thus cannot reliably determine radial velocity of aircraft moving 1,000 m/s (2,200 mph).

Polarization

[edit]

In all electromagnetic radiation, the electric field is perpendicular to the direction of propagation, and the electric field direction is the polarization of the wave. For a transmitted radar signal, the polarization can be controlled to yield different effects. Radars use horizontal, vertical, linear, and circular polarization to detect different types of reflections. For example, circular polarization is used to minimize the interference caused by rain. Linear polarization returns usually indicate metal surfaces. Random polarization returns usually indicate a fractal surface, such as rocks or soil, and are used by navigation radars.

Limiting factors

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Beam path and range

[edit]
Echo heights above ground

Where :
  r : distance radar-target
ke : 4/3
ae : Earth radius
θe : elevation angle above the radar horizon
ha : height of the feedhorn above ground

A radar beam follows a linear path in vacuum but follows a somewhat curved path in atmosphere due to variation in the refractive index of air, which is called the radar horizon. Even when the beam is emitted parallel to the ground, the beam rises above the ground as the curvature of the Earth sinks below the horizon. Furthermore, the signal is attenuated by the medium the beam crosses, and the beam disperses.

The maximum range of conventional radar can be limited by a number of factors:

  • Line of sight, which depends on the height above the ground. Without a direct line of sight, the path of the beam is blocked.
  • The maximum non-ambiguous range, which is determined by the pulse repetition frequency. The maximum non-ambiguous range is the distance the pulse can travel to and return from before the next pulse is emitted.
  • Radar sensitivity and the power of the return signal as computed in the radar equation. This component includes factors such as the environmental conditions and the size (or radar cross section) of the target.

Noise

[edit]

Signal noise is an internal source of random variations in the signal, which is generated by all electronic components.

Reflected signals decline rapidly as distance increases, so noise introduces a radar range limitation. The noise floor and signal-to-noise ratio are two different measures of performance that affect range performance. Reflectors that are too far away produce too little signal to exceed the noise floor and cannot be detected. Detection requires a signal that exceeds the noise floor by at least the signal-to-noise ratio.

Noise typically appears as random variations superimposed on the desired echo signal received in the radar receiver. The lower the power of the desired signal, the more difficult it is to discern it from the noise. The noise figure is a measure of the noise produced by a receiver compared to an ideal receiver, and this needs to be minimized.

Shot noise is produced by electrons in transit across a discontinuity, which occurs in all detectors. Shot noise is the dominant source in most receivers. There will also be flicker noise caused by electron transit through amplification devices, which is reduced using heterodyne amplification. Another reason for heterodyne processing is that for fixed fractional bandwidth, the instantaneous bandwidth increases linearly in frequency. This allows improved range resolution. The one notable exception to heterodyne (downconversion) radar systems is ultra-wideband radar. Here a single cycle, or transient wave, is used similar to UWB communications, see List of UWB channels.

Noise is also generated by external sources, most importantly the natural thermal radiation of the background surrounding the target of interest. In modern radar systems, the internal noise is typically about equal to or lower than the external noise. An exception is if the radar is aimed upwards at clear sky, where the scene is so "cold" that it generates very little thermal noise. The thermal noise is given by kB T B, where T is temperature, B is bandwidth (post matched filter) and kB is the Boltzmann constant. There is an appealing intuitive interpretation of this relationship in a radar. Matched filtering allows the entire energy received from a target to be compressed into a single bin (be it a range, Doppler, elevation, or azimuth bin). On the surface it appears that then within a fixed interval of time, perfect, error free, detection could be obtained. This is done by compressing all energy into an infinitesimal time slice. What limits this approach in the real world is that, while time is arbitrarily divisible, current is not. The quantum of electrical energy is an electron, and so the best that can be done is to match filter all energy into a single electron. Since the electron is moving at a certain temperature (Planck spectrum) this noise source cannot be further eroded. Ultimately, radar, like all macro-scale entities, is profoundly impacted by quantum theory.

Noise is random and target signals are not. Signal processing can take advantage of this phenomenon to reduce the noise floor using two strategies. The kind of signal integration used with moving target indication can improve noise up to for each stage. The signal can also be split among multiple filters for pulse-Doppler signal processing, which reduces the noise floor by the number of filters. These improvements depend upon coherence.

Interference

[edit]

Radar systems must overcome unwanted signals in order to focus on the targets of interest. These unwanted signals may originate from internal and external sources, both passive and active. The ability of the radar system to overcome these unwanted signals defines its signal-to-noise ratio (SNR). SNR is defined as the ratio of the signal power to the noise power within the desired signal; it compares the level of a desired target signal to the level of background noise (atmospheric noise and noise generated within the receiver). The higher a system's SNR the better it is at discriminating actual targets from noise signals.

Clutter

[edit]
Radar multipath echoes from a target cause ghosts to appear

Clutter refers to radio frequency (RF) echoes returned from targets which are uninteresting to radar operators. Such targets include man-made objects such as buildings and — intentionally — by radar countermeasures such as chaff. Such targets also include natural objects such as ground, sea, and — when not being tasked for meteorological purposes — precipitation, hail spike, dust storms, animals (especially birds), turbulence in the atmospheric circulation, and meteor trails. Radar clutter can also be caused by other atmospheric phenomena, such as disturbances in the ionosphere caused by geomagnetic storms or other space weather events. This phenomenon is especially apparent near the geomagnetic poles, where the action of the solar wind on the earth's magnetosphere produces convection patterns in the ionospheric plasma.[47] Radar clutter can degrade the ability of over-the-horizon radar to detect targets.[47][48]

Some clutter may also be caused by a long radar waveguide between the radar transceiver and the antenna. In a typical plan position indicator (PPI) radar with a rotating antenna, this will usually be seen as a "sun" or "sunburst" in the center of the display as the receiver responds to echoes from dust particles and misguided RF in the waveguide. Adjusting the timing between when the transmitter sends a pulse and when the receiver stage is enabled will generally reduce the sunburst without affecting the accuracy of the range since most sunburst is caused by a diffused transmit pulse reflected before it leaves the antenna. Clutter is considered a passive interference source since it only appears in response to radar signals sent by the radar.

Clutter is detected and neutralized in several ways. Clutter tends to appear static between radar scans; on subsequent scan echoes, desirable targets will appear to move, and all stationary echoes can be eliminated. Sea clutter can be reduced by using horizontal polarization, while rain is reduced with circular polarization (meteorological radars wish for the opposite effect, and therefore use linear polarization to detect precipitation). Other methods attempt to increase the signal-to-clutter ratio.

Clutter moves with the wind or is stationary. Two common strategies to improve measures of performance in a clutter environment are:

  • Moving target indication, which integrates successive pulses
  • Doppler processing, which uses filters to separate clutter from desirable signals

The most effective clutter reduction technique is pulse-Doppler radar. Doppler separates clutter from aircraft and spacecraft using a frequency spectrum, so individual signals can be separated from multiple reflectors located in the same volume using velocity differences. This requires a coherent transmitter. Another technique uses a moving target indicator that subtracts the received signal from two successive pulses using phase to reduce signals from slow-moving objects. This can be adapted for systems that lack a coherent transmitter, such as time-domain pulse-amplitude radar.

Constant false alarm rate, a form of automatic gain control (AGC), is a method that relies on clutter returns far outnumbering echoes from targets of interest. The receiver's gain is automatically adjusted to maintain a constant level of overall visible clutter. While this does not help detect targets masked by stronger surrounding clutter, it does help to distinguish strong target sources. In the past, radar AGC was electronically controlled and affected the gain of the entire radar receiver. As radars evolved, AGC became computer-software-controlled and affected the gain with greater granularity in specific detection cells.

Clutter may also originate from multipath echoes from valid targets caused by ground reflection, atmospheric ducting or ionospheric reflection/refraction (e.g., anomalous propagation). This clutter type is especially bothersome since it appears to move and behave like other normal (point) targets of interest. In a typical scenario, an aircraft echo is reflected from the ground below, appearing to the receiver as an identical target below the correct one. The radar may try to unify the targets, reporting the target at an incorrect height, or eliminating it on the basis of jitter or a physical impossibility. Terrain bounce jamming exploits this response by amplifying the radar signal and directing it downward.[49] These problems can be overcome by incorporating a ground map of the radar's surroundings and eliminating all echoes which appear to originate below ground or above a certain height. Monopulse can be improved by altering the elevation algorithm used at low elevation. In newer air traffic control radar equipment, algorithms are used to identify the false targets by comparing the current pulse returns to those adjacent, as well as calculating return improbabilities.

Jamming

[edit]

Radar jamming refers to radio frequency signals originating from sources outside the radar, transmitting in the radar's frequency and thereby masking targets of interest. Jamming may be intentional, as with an electronic warfare tactic, or unintentional, as with friendly forces operating equipment that transmits using the same frequency range. Jamming is considered an active interference source, since it is initiated by elements outside the radar and in general unrelated to the radar signals.

Jamming is problematic to radar since the jamming signal only needs to travel one way (from the jammer to the radar receiver) whereas the radar echoes travel two ways (radar-target-radar) and are therefore significantly reduced in power by the time they return to the radar receiver in accordance with inverse-square law. Jammers therefore can be much less powerful than their jammed radars and still effectively mask targets along the line of sight from the jammer to the radar (mainlobe jamming). Jammers have an added effect of affecting radars along other lines of sight through the radar receiver's sidelobes (sidelobe jamming).

Mainlobe jamming can generally only be reduced by narrowing the mainlobe solid angle and cannot fully be eliminated when directly facing a jammer which uses the same frequency and polarization as the radar. Sidelobe jamming can be overcome by reducing receiving sidelobes in the radar antenna design and by using an omnidirectional antenna to detect and disregard non-mainlobe signals. Other anti-jamming techniques are frequency hopping and polarization.

Signal processing

[edit]

Distance measurement

[edit]

Transit time

[edit]
Pulse radar: The round-trip time for the radar pulse to get to the target and return is measured. The distance is proportional to this time.

One way to obtain a distance measurement (ranging) is based on the time-of-flight: transmit a short pulse of radio signal (electromagnetic radiation) and measure the time it takes for the reflection to return. The distance is one-half the round trip time multiplied by the speed of the signal. The factor of one-half comes from the fact that the signal has to travel to the object and back again. Since radio waves travel at the speed of light, accurate distance measurement requires high-speed electronics. In most cases, the receiver does not detect the return while the signal is being transmitted.[45] Through the use of a duplexer, the radar switches between transmitting and receiving at a predetermined rate. A similar effect imposes a maximum range as well. In order to maximize range, longer times between pulses should be used, referred to as a pulse repetition time, or its reciprocal, pulse repetition frequency.

These two effects tend to be at odds with each other, and it is not easy to combine both good short range and good long range in a single radar. This is because the short pulses needed for a good minimum range broadcast have less total energy, making the returns much smaller and the target harder to detect. This could be offset by using more pulses, but this would shorten the maximum range. So each radar uses a particular type of signal. Long-range radars tend to use long pulses with long delays between them, and short range radars use smaller pulses with less time between them. As electronics have improved many radars now can change their pulse repetition frequency, thereby changing their range. The newest radars fire two pulses during one cell, one for short range (about 10 km (6.2 miles)) and a separate signal for longer ranges (about 100 km (62 miles)).

Distance may also be measured as a function of time. The radar mile is the time it takes for a radar pulse to travel one nautical mile, reflect off a target, and return to the radar antenna. Since a nautical mile is defined as 1,852 m, then dividing this distance by the speed of light (299,792,458 m/s), and then multiplying the result by 2 yields a result of 12.36 μs in duration.

Frequency modulation

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Continuous wave (CW) radar. Using frequency modulation allows range to be extracted.

Another form of distance measuring radar is based on frequency modulation. In these systems, the frequency of the transmitted signal is changed over time. Since the signal takes a finite time to travel to and from the target, the received signal is a different frequency than what the transmitter is broadcasting at the time the reflected signal arrives back at the radar. By comparing the frequency of the two signals the difference can be easily measured.[45]: 7  This is easily accomplished with very high accuracy even in 1940s electronics. A further advantage is that the radar can operate effectively at relatively low frequencies. This was important in the early development of this type when high-frequency signal generation was difficult or expensive.

This technique can be used in continuous wave radar and is often found in aircraft radar altimeters. In these systems a "carrier" radar signal is frequency modulated in a predictable way, typically varying up and down with a sine wave or sawtooth pattern at audio frequencies. The signal is then sent out from one antenna and received on another, typically located on the bottom of the aircraft, and the signal can be continuously compared using a simple beat frequency modulator that produces an audio frequency tone from the returned signal and a portion of the transmitted signal.

The modulation index riding on the receive signal is proportional to the time delay between the radar and the reflector. The frequency shift becomes greater with greater time delay. The frequency shift is directly proportional to the distance travelled. That distance can be displayed on an instrument, and it may also be available via the transponder. This signal processing is similar to that used in speed detecting Doppler radar. Example systems using this approach are AZUSA, MISTRAM, and UDOP.

Terrestrial radar uses low-power FM signals that cover a larger frequency range. The multiple reflections are analyzed mathematically for pattern changes with multiple passes creating a computerized synthetic image. Doppler effects are used which allows slow moving objects to be detected as well as largely eliminating "noise" from the surfaces of bodies of water.

Pulse compression

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The two techniques outlined above both have their disadvantages. The pulse timing technique has an inherent tradeoff in that the accuracy of the distance measurement is inversely related to the length of the pulse, while the energy, and thus direction range, is directly related. Increasing power for longer range while maintaining accuracy demands extremely high peak power, with 1960s early warning radars often operating in the tens of megawatts. The continuous wave methods spread this energy out in time and thus require much lower peak power compared to pulse techniques, but requires some method of allowing the sent and received signals to operate at the same time, often demanding two separate antennas.

The introduction of new electronics in the 1960s allowed the two techniques to be combined. It starts with a longer pulse that is also frequency modulated. Spreading the broadcast energy out in time means lower peak energies can be used, with modern examples typically on the order of tens of kilowatts. On reception, the signal is sent into a system that delays different frequencies by different times. The resulting output is a much shorter pulse that is suitable for accurate distance measurement, while also compressing the received energy into a much higher energy peak and thus improving the signal-to-noise ratio. The technique is largely universal on modern large radars.

Speed measurement

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Speed is the change in distance to an object with respect to time. Thus the existing system for measuring distance, combined with a memory capacity to see where the target last was, is enough to measure speed. At one time the memory consisted of a user making grease pencil marks on the radar screen and then calculating the speed using a slide rule. Modern radar systems perform the equivalent operation faster and more accurately using computers.

If the transmitter's output is coherent (phase synchronized), there is another effect that can be used to make almost instant speed measurements (no memory is required), known as the Doppler effect. Most modern radar systems use this principle into Doppler radar and pulse-Doppler radar systems (weather radar, military radar). The Doppler effect is only able to determine the relative speed of the target along the line of sight from the radar to the target. Any component of target velocity perpendicular to the line of sight cannot be determined by using the Doppler effect alone, but it can be determined by tracking the target's azimuth over time.

It is possible to make a Doppler radar without any pulsing, known as a continuous-wave radar (CW radar), by sending out a very pure signal of a known frequency. CW radar is ideal for determining the radial component of a target's velocity. CW radar is typically used by traffic enforcement to measure vehicle speed quickly and accurately where the range is not important.

When using a pulsed radar, the variation between the phase of successive returns gives the distance the target has moved between pulses, and thus its speed can be calculated. Other mathematical developments in radar signal processing include time-frequency analysis (Weyl Heisenberg or wavelet), as well as the chirplet transform which makes use of the change of frequency of returns from moving targets ("chirp").

Pulse-Doppler signal processing

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Pulse-Doppler signal processing. The Range Sample axis represents individual samples taken in between each transmit pulse. The Range Interval axis represents each successive transmit pulse interval during which samples are taken. The Fast Fourier Transform process converts time-domain samples into frequency domain spectra. This is sometimes called the bed of nails.

Pulse-Doppler signal processing includes frequency filtering in the detection process. The space between each transmit pulse is divided into range cells or range gates. Each cell is filtered independently much like the process used by a spectrum analyzer to produce the display showing different frequencies. Each different distance produces a different spectrum. These spectra are used to perform the detection process. This is required to achieve acceptable performance in hostile environments involving weather, terrain, and electronic countermeasures.

The primary purpose is to measure both the amplitude and frequency of the aggregate reflected signal from multiple distances. This is used with weather radar to measure radial wind velocity and precipitation rate in each different volume of air. This is linked with computing systems to produce a real-time electronic weather map. Aircraft safety depends upon continuous access to accurate weather radar information that is used to prevent injuries and accidents. Weather radar uses a low PRF. Coherency requirements are not as strict as those for military systems because individual signals ordinarily do not need to be separated. Less sophisticated filtering is required, and range ambiguity processing is not normally needed with weather radar in comparison with military radar intended to track air vehicles.

The alternate purpose is "look-down/shoot-down" capability required to improve military air combat survivability. Pulse-Doppler is also used for ground based surveillance radar required to defend personnel and vehicles.[50][51] Pulse-doppler signal processing increases the maximum detection distance using less radiation close to aircraft pilots, shipboard personnel, infantry, and artillery. Reflections from terrain, water, and weather produce signals much larger than aircraft and missiles, which allows fast moving vehicles to hide using nap-of-the-earth flying techniques and stealth technology to avoid detection until an attack vehicle is too close to destroy. Pulse-Doppler signal processing incorporates more sophisticated electronic filtering that safely eliminates this kind of weakness. This requires the use of medium pulse-repetition frequency with phase coherent hardware that has a large dynamic range. Military applications require medium PRF which prevents range from being determined directly, and range ambiguity resolution processing is required to identify the true range of all reflected signals. Radial movement is usually linked with Doppler frequency to produce a lock signal that cannot be produced by radar jamming signals. Pulse-Doppler signal processing also produces audible signals that can be used for threat identification.[50]

Reduction of interference effects

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Signal processing is employed in radar systems to reduce the radar interference effects. Signal processing techniques include moving target indication, Pulse-Doppler signal processing, moving target detection processors, correlation with secondary surveillance radar targets, space-time adaptive processing, and track-before-detect. Constant false alarm rate and digital terrain model processing are also used in clutter environments.

Plot and track extraction

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A track algorithm is a radar performance enhancement strategy. Tracking algorithms provide the ability to predict the future position of multiple moving objects based on the history of the individual positions being reported by sensor systems.

Historical information is accumulated and used to predict future position for use with air traffic control, threat estimation, combat system doctrine, gun aiming, and missile guidance. Position data is accumulated by radar sensors over the span of a few minutes.

There are four common track algorithms:[52]

Radar video returns from aircraft can be subjected to a plot extraction process whereby spurious and interfering signals are discarded. A sequence of target returns can be monitored through a device known as a plot extractor.

The non-relevant real time returns can be removed from the displayed information and a single plot displayed. In some radar systems, or alternatively in the command and control system to which the radar is connected, a radar tracker is used to associate the sequence of plots belonging to individual targets and estimate the targets' headings and speeds.

Engineering

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Radar components

A radar's components are:

  • A transmitter that generates the radio signal with an oscillator such as a klystron or a magnetron and controls its duration by a modulator.
  • A waveguide that links the transmitter and the antenna.
  • A duplexer that serves as a switch between the antenna and the transmitter or the receiver for the signal when the antenna is used in both situations.
  • A receiver. Knowing the shape of the desired received signal (a pulse), an optimal receiver can be designed using a matched filter.
  • A display processor to produce signals for human readable output devices.
  • An electronic section that controls all those devices and the antenna to perform the radar scan ordered by software.
  • A link to end user devices and displays.

Antenna design

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AS-3263/SPS-49(V) antenna (US Navy)

Radio signals broadcast from a single antenna will spread out in all directions, and likewise a single antenna will receive signals equally from all directions. This leaves the radar with the problem of deciding where the target object is located.

Early systems tended to use omnidirectional broadcast antennas, with directional receiver antennas which were pointed in various directions. For instance, the first system to be deployed, Chain Home, used two straight antennas at right angles for reception, each on a different display. The maximum return would be detected with an antenna at right angles to the target, and a minimum with the antenna pointed directly at it (end on). The operator could determine the direction to a target by rotating the antenna so one display showed a maximum while the other showed a minimum. One serious limitation with this type of solution is that the broadcast is sent out in all directions, so the amount of energy in the direction being examined is a small part of that transmitted. To get a reasonable amount of power on the "target", the transmitting aerial should also be directional.

Parabolic reflector

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Surveillance radar antenna

More modern systems use a steerable parabolic "dish" to create a tight broadcast beam, typically using the same dish as the receiver. Such systems often combine two radar frequencies in the same antenna in order to allow automatic steering, or radar lock.

Parabolic reflectors can be either symmetric parabolas or spoiled parabolas: Symmetric parabolic antennas produce a narrow "pencil" beam in both the X and Y dimensions and consequently have a higher gain. The NEXRAD Pulse-Doppler weather radar uses a symmetric antenna to perform detailed volumetric scans of the atmosphere. Spoiled parabolic antennas produce a narrow beam in one dimension and a relatively wide beam in the other. This feature is useful if target detection over a wide range of angles is more important than target location in three dimensions. Most 2D surveillance radars use a spoiled parabolic antenna with a narrow azimuthal beamwidth and wide vertical beamwidth. This beam configuration allows the radar operator to detect an aircraft at a specific azimuth but at an indeterminate height. Conversely, so-called "nodder" height finding radars use a dish with a narrow vertical beamwidth and wide azimuthal beamwidth to detect an aircraft at a specific height but with low azimuthal precision.

Types of scan

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  • Primary Scan: A scanning technique where the main antenna aerial is moved to produce a scanning beam, examples include circular scan, sector scan, etc.
  • Secondary Scan: A scanning technique where the antenna feed is moved to produce a scanning beam, examples include conical scan, unidirectional sector scan, lobe switching, etc.
  • Palmer Scan: A scanning technique that produces a scanning beam by moving the main antenna and its feed. A Palmer Scan is a combination of a Primary Scan and a Secondary Scan.
  • Conical scanning: The radar beam is rotated in a small circle around the "boresight" axis, which is pointed at the target.

Slotted waveguide

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Slotted waveguide antenna

Applied similarly to the parabolic reflector, the slotted waveguide is moved mechanically to scan and is particularly suitable for non-tracking surface scan systems, where the vertical pattern may remain constant. Owing to its lower cost and less wind exposure, shipboard, airport surface, and harbour surveillance radars now use this approach in preference to a parabolic antenna.

Phased array

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Phased array: Not all radar antennas must rotate to scan the sky.

Another method of steering is used in a phased array radar.

Phased array antennas are composed of evenly spaced similar antenna elements, such as aerials or rows of slotted waveguide. Each antenna element or group of antenna elements incorporates a discrete phase shift that produces a phase gradient across the array. For example, array elements producing a 5 degree phase shift for each wavelength across the array face will produce a beam pointed 5 degrees away from the centerline perpendicular to the array face. Signals travelling along that beam will be reinforced. Signals offset from that beam will be cancelled. The amount of reinforcement is antenna gain. The amount of cancellation is side-lobe suppression.[53]

Phased array radars have been in use since the earliest years of radar in World War II (Mammut radar), but electronic device limitations led to poor performance. Phased array radars were originally used for missile defence (see for example Safeguard Program). They are the heart of the ship-borne Aegis Combat System and the Patriot Missile System. The massive redundancy associated with having a large number of array elements increases reliability at the expense of gradual performance degradation that occurs as individual phase elements fail. To a lesser extent, phased array radars have been used in weather surveillance. As of 2017, NOAA plans to implement a national network of multi-function phased array radars throughout the United States within 10 years, for meteorological studies and flight monitoring.[54]

Phased array antennas can be built to conform to specific shapes, like missiles, infantry support vehicles, ships, and aircraft.

As the price of electronics has fallen, phased array radars have become more common. Almost all modern military radar systems are based on phased arrays, where the small additional cost is offset by the improved reliability of a system with no moving parts. Traditional moving-antenna designs are still widely used in roles where cost is a significant factor such as air traffic surveillance and similar systems.

Phased array radars are valued for use in aircraft since they can track multiple targets. The first aircraft to use a phased array radar was the B-1B Lancer. The first fighter aircraft to use phased array radar was the Mikoyan MiG-31. The MiG-31M's SBI-16 Zaslon passive electronically scanned array radar was considered to be the world's most powerful fighter radar,[citation needed] until the AN/APG-77 active electronically scanned array was introduced on the Lockheed Martin F-22 Raptor.

Phased-array interferometry or aperture synthesis techniques, using an array of separate dishes that are phased into a single effective aperture, are not typical for radar applications, although they are widely used in radio astronomy. Because of the thinned array curse, such multiple aperture arrays, when used in transmitters, result in narrow beams at the expense of reducing the total power transmitted to the target. In principle, such techniques could increase spatial resolution, but the lower power means that this is generally not effective.

Aperture synthesis by post-processing motion data from a single moving source, on the other hand, is widely used in space and airborne radar systems.

Frequency bands

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Antennas generally have to be sized similar to the wavelength of the operational frequency, normally within an order of magnitude. This provides a strong incentive to use shorter wavelengths as this will result in smaller antennas. Shorter wavelengths also result in higher resolution due to diffraction, meaning the shaped reflector seen on most radars can also be made smaller for any desired beamwidth.

Opposing the move to smaller wavelengths are a number of practical issues. For one, the electronics needed to produce high power very short wavelengths were generally more complex and expensive than the electronics needed for longer wavelengths or did not exist at all. Another issue is that the radar equation's effective aperture figure means that for any given antenna (or reflector) size will be more efficient at longer wavelengths. Additionally, shorter wavelengths may interact with molecules or raindrops in the air, scattering the signal. Very long wavelengths also have additional diffraction effects that make them suitable for over the horizon radars. For this reason, a wide variety of wavelengths are used in different roles.

The traditional band names originated as code-names during World War II and are still in military and aviation use throughout the world. They have been adopted in the United States by the Institute of Electrical and Electronics Engineers and internationally by the International Telecommunication Union. Most countries have additional regulations to control which parts of each band are available for civilian or military use.

Other users of the radio spectrum, such as the broadcasting and electronic countermeasures industries, have replaced the traditional military designations with their own systems.

Radar frequency bands
Band name Frequency range Wavelength range Notes
HF 3–30 MHz 10–100 m Coastal radar systems, over-the-horizon (OTH) radars; 'high frequency'
VHF 30–300 MHz 1–10 m Very long range, ground penetrating; 'very high frequency'. Early radar systems generally operated in VHF as suitable electronics had already been developed for broadcast radio. Today this band is heavily congested and no longer suitable for radar due to interference.
P < 300 MHz > 1 m 'P' for 'previous', applied retrospectively to early radar systems; essentially HF + VHF. Often used for remote sensing because of good vegetation penetration.
UHF 300–1000 MHz 0.3–1 m Very long range (e.g. ballistic missile early warning), ground penetrating, foliage penetrating; 'ultra high frequency'. Efficiently produced and received at very high energy levels, and also reduces the effects of nuclear blackout, making them useful in the missile detection role.
L 1–2 GHz 15–30 cm Long range air traffic control and surveillance; 'L' for 'long'. Widely used for long range early warning radars as they combine good reception qualities with reasonable resolution.
S 2–4 GHz 7.5–15 cm Moderate range surveillance, Terminal air traffic control, long-range weather, marine radar; 'S' for 'sentimetric', its code-name during WWII. Less efficient than L, but offering higher resolution, making them especially suitable for long-range ground controlled interception tasks.
C 4–8 GHz 3.75–7.5 cm Satellite transponders; a compromise (hence 'C') between X and S bands; weather; long range tracking
X 8–12 GHz 2.5–3.75 cm Missile guidance, marine radar, weather, medium-resolution mapping and ground surveillance; in the United States the narrow range 10.525 GHz ±25 MHz is used for airport radar; short-range tracking. Named X band because the frequency was a secret during WW2. Diffraction off raindrops during heavy rain limits the range in the detection role and makes this suitable only for short-range roles or those that deliberately detect rain.
Ku 12–18 GHz 1.67–2.5 cm High-resolution, also used for satellite transponders, frequency under K band (hence 'u')
K 18–24 GHz 1.11–1.67 cm From German kurz, meaning 'short'. Limited use due to absorption by water vapor at 22 GHz, so Ku and Ka on either side used instead for surveillance. K-band is used for detecting clouds by meteorologists, and by police for detecting speeding motorists. K-band operates at 24.150 ± 0.100 GHz.
Ka 24–40 GHz 0.75–1.11 cm Mapping, short range, airport surveillance; frequency just above K band (hence 'a') Photo radar, used to trigger cameras which take pictures of license plates of cars running red lights, and by police for detecting speeding motorists. Operates at 34.300 ± 0.100 GHz.
mm 40–300 GHz 1.0–7.5 mm Millimetre band, subdivided as below. Oxygen in the air is an extremely effective attenuator around 60 GHz, as are other molecules at other frequencies, leading to the so-called propagation window at 94 GHz. Even in this window the attenuation is higher than that due to water at 22.2 GHz. This makes these frequencies generally useful only for short-range highly specific radars, like power line avoidance systems for helicopters or use in space where attenuation is not a problem. Multiple letters are assigned to these bands by different groups. These are from Baytron, a now defunct company that made test equipment.
V 40–75 GHz 4.0–7.5 mm Very strongly absorbed by atmospheric oxygen, which resonates at 60 GHz.
W 75–110 GHz 2.7–4.0 mm Used as a visual sensor for experimental autonomous vehicles, high-resolution meteorological observation, and imaging.

Modulators

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Modulators act to provide the waveform of the RF-pulse. There are two different radar modulator designs:

  • High voltage switch for non-coherent keyed power-oscillators.[55] These modulators consist of a high voltage pulse generator formed from a high voltage supply, a pulse forming network, and a high voltage switch such as a thyratron. They generate short pulses of power to feed, e.g., the magnetron, a special type of vacuum tube that converts DC (usually pulsed) into microwaves. This technology is known as pulsed power. In this way, the transmitted pulse of RF radiation is kept to a defined and usually very short duration.
  • Hybrid mixers,[56] fed by a waveform generator and an exciter for a complex but coherent waveform. This waveform can be generated by low power/low-voltage input signals. In this case the radar transmitter must be a power-amplifier, e.g., a klystron or a solid state transmitter. In this way, the transmitted pulse is intrapulse-modulated and the radar receiver must use pulse compression techniques.

Coolant

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Coherent microwave amplifiers operating above 1,000 watts microwave output, like travelling wave tubes and klystrons, require liquid coolant. The electron beam must contain 5 to 10 times more power than the microwave output, which can produce enough heat to generate plasma. This plasma flows from the collector toward the cathode. The same magnetic focusing that guides the electron beam forces the plasma into the path of the electron beam but flowing in the opposite direction. This introduces FM modulation which degrades Doppler performance. To prevent this, liquid coolant with minimum pressure and flow rate is required, and deionized water is normally used in most high power surface radar systems that use Doppler processing.[57]

Coolanol (silicate ester) was used in several military radars in the 1970s. However, it is hygroscopic, leading to hydrolysis and formation of highly flammable alcohol. The loss of a U.S. Navy aircraft in 1978 was attributed to a silicate ester fire.[58] Coolanol is also expensive and toxic. The U.S. Navy has instituted a program named Pollution Prevention (P2) to eliminate or reduce the volume and toxicity of waste, air emissions, and effluent discharges. Because of this, Coolanol is used less often today.

Regulations

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Radar (also: RADAR) is defined by article 1.100 of the International Telecommunication Union's (ITU) ITU Radio Regulations (RR) as:[59]

A radiodetermination system based on the comparison of reference signals with radio signals reflected, or retransmitted, from the position to be determined. Each radiodetermination system shall be classified by the radiocommunication service in which it operates permanently or temporarily. Typical radar utilizations are primary radar and secondary radar, these might operate in the radiolocation service or the radiolocation-satellite service.

Configurations

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See also

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Definitions
Application
Hardware
Similar detection and ranging methods
Historical radars

Notes and references

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Bibliography

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[edit]
Revisions and contributorsEdit on WikipediaRead on Wikipedia
from Grokipedia
Radar, an acronym for radio detection and ranging, is a detection and ranging technology that uses radio waves to identify the presence, distance, speed, and direction of objects such as aircraft, vehicles, weather phenomena, and terrain. It functions by transmitting short pulses of high-frequency radio energy from an antenna, which travel at the speed of light until they strike a target and reflect back to a receiver, enabling precise measurements through the time-of-flight for range and the Doppler effect for velocity. Modern radar systems, including pulsed Doppler variants like the WSR-88D weather radar introduced in 1988, often incorporate dual-polarization to distinguish between types of precipitation and debris by analyzing the orientation of reflected waves. The foundational principles of radar trace back to 1886, when Heinrich Hertz demonstrated that electromagnetic waves could be reflected and focused, establishing the basis for radio wave detection. Early practical experiments emerged in 1904 with Christian Hülsmeyer's patent for a ship obstacle detector using electromagnetic waves, followed by U.S. Naval Research Laboratory (NRL) work in 1922, where Albert Hoyt Taylor and Leo Young observed radio reflections from ships. By 1930, NRL scientists Lawrence Hyland, Taylor, and Young detected aircraft using continuous radio waves, and in 1934, they patented a system for object detection by radio; pulsed radar advancements by Robert Page enabled detection up to 17 miles by 1936. British efforts, led by Robert Watson-Watt in 1935, developed aircraft early-warning systems, culminating in a national radar network by 1937. The invention of the cavity magnetron in 1940 provided higher power for shorter wavelength radars. During World War II, U.S. and British collaboration at MIT's Radiation Laboratory accelerated radar deployment, with NRL systems aiding naval victories like the Battles of Coral Sea and Midway in 1942 by detecting aircraft at distances up to 50 miles. Radar has evolved into a versatile tool with diverse applications across civilian and military domains. In aviation, systems like the Airport Surveillance Radar (ASR-11) provide air traffic control by integrating primary and secondary radar to track aircraft positions and altitudes at terminal sites. In meteorology, networks such as the U.S. NEXRAD (Next Generation Weather Radar) detect severe storms, monitor hurricanes, measure precipitation intensity for flood warnings, and support short-term forecasting to enhance agriculture and public safety. Military uses include tactical surveillance, where radar detects high-flying aircraft up to 135 miles away for early warning, course plotting, and speed estimation, as demonstrated in WWII naval operations. Additional applications encompass space mapping from satellites, speed enforcement for vehicles, and tracking of wildlife or insects, underscoring radar's role in improving safety, efficiency, and scientific understanding across multiple fields.

Principles

Signal Characteristics

Radar is a system that employs radio waves to detect the presence, location, and other attributes of objects by transmitting electromagnetic signals and analyzing the echoes returned from targets. The fundamental properties of radar signals include the carrier frequency, which defines the central radio frequency of the transmitted wave and typically spans from hundreds of megahertz to tens of gigahertz, influencing factors such as atmospheric propagation, antenna size, and resolution capabilities. Modulation techniques shape the signal to carry information; common methods encompass amplitude modulation (AM), where the signal amplitude varies to encode data, frequency modulation (FM), which alters the instantaneous frequency for applications like chirp signals to improve range resolution, and pulse modulation, involving discrete bursts of energy to enable time-based measurements. Bandwidth quantifies the spectral extent of the signal, directly impacting range resolution—narrower bandwidths yield coarser resolution, while wider bandwidths, often achieved through modulation like linear FM, provide finer detail; for an unmodulated pulse, the approximate bandwidth BB satisfies B1/τB \approx 1/\tau, with τ\tau denoting the pulse width. Pulse width, the temporal duration of each transmitted pulse, balances resolution (shorter pulses improve it) against signal energy and detection range, with typical values ranging from microseconds to nanoseconds depending on the application. In free space, radar signals propagate as electromagnetic waves at the speed of light, c=3×108c = 3 \times 10^8 m/s, assuming vacuum conditions and negligible atmospheric effects at common frequencies. The wavelength λ\lambda, a critical parameter for antenna design and diffraction considerations, is calculated as λ=c/f\lambda = c / f, where ff is the carrier frequency; for instance, at 10 GHz, λ0.03\lambda \approx 0.03 m. A basic representation of the transmitted radar signal is the sinusoidal waveform given by s(t)=Acos(2πft+ϕ),s(t) = A \cos(2\pi f t + \phi), where AA is the signal amplitude, ff the carrier frequency, and ϕ\phi the phase offset, serving as the foundation upon which modulations are applied. Radar systems differ fundamentally in their signaling approach: continuous wave (CW) radars transmit an uninterrupted signal, facilitating precise Doppler velocity measurements but requiring separate transmit and receive antennas to avoid interference in monostatic configurations, and often limited to lower powers. In contrast, pulsed radars emit short, high-power bursts separated by listening periods, enabling unambiguous range determination via echo time-of-flight while using a single antenna through time-division multiplexing, though they may introduce range ambiguities if the pulse repetition frequency is too high.

Illumination and Reflection

In radar systems, the illumination process begins with the transmission of electromagnetic pulses directed toward a target area via a focused antenna beam. These pulses propagate at the speed of light, illuminating potential targets within the beam's coverage. Upon encountering a target, a portion of the incident energy is reflected back toward the radar receiver as an echo, while the remainder may be absorbed, transmitted through, or scattered in other directions. This echo return enables the detection and localization of the target based on the time delay between transmission and reception. Reflection in radar involves the interaction of the incident wave with the target's surface, resulting in backscattering where energy is redirected toward the source. Specular scattering occurs on smooth surfaces relative to the wavelength, producing a mirror-like reflection where the angle of incidence equals the angle of reflection, often directing energy away from the radar unless the aspect angle aligns precisely. In contrast, diffuse scattering arises from rough or irregular surfaces, dispersing energy in multiple directions and increasing the likelihood of a detectable backscatter. The radar cross-section (RCS), denoted as σ, quantifies a target's effective reflectivity as the hypothetical area of an isotropic scatterer that would produce the same backscatter strength observed from the actual target. Several factors influence the RCS and thus the reflection characteristics. Target shape determines the geometry of scattering, with flat surfaces favoring specular reflection and complex forms like aircraft fuselages promoting diffuse or multipath scattering. Material composition affects reflectivity, as conductive metals yield higher RCS due to strong re-radiation, whereas dielectrics like composites reduce it through absorption or transmission. Orientation relative to the radar's line of sight alters the projected area and aspect angle, potentially minimizing backscatter when edges are presented broadside. Surface roughness, scaled by wavelength, transitions between specular and diffuse regimes, with smoother surfaces at longer wavelengths behaving more specularly. Basic scattering models simplify RCS prediction for canonical shapes. For a conducting sphere in the optical regime—where the wavelength is much smaller than the radius—the RCS approximates the geometric cross-section, given by σ = πr², independent of frequency and reflecting energy uniformly due to the sphere's symmetry. This model establishes a baseline for understanding larger, wavelength-independent targets but deviates for resonant or Rayleigh regimes where size-wavelength ratios vary. For reliable echo detection, the returned signal must exceed the ambient noise, characterized by the signal-to-noise ratio (SNR). Detection thresholds typically require an SNR of at least 13 dB for single-pulse operation to achieve a high probability of detection (e.g., 90%) while maintaining low false alarms, though integration of multiple pulses can lower this requirement. The SNR thus serves as the primary metric for identifying backscattered echoes amid thermal, atmospheric, or clutter noise.

Range and Doppler Effects

Radar systems determine the distance to a target, known as range, by measuring the time delay between the transmission of a radar pulse and the reception of its echo. This time-of-flight principle relies on the fact that electromagnetic waves propagate at the speed of light, c3×108c \approx 3 \times 10^8 m/s in free space. The range RR is calculated as R=cΔt2R = \frac{c \Delta t}{2}, where Δt\Delta t is the round-trip time delay, accounting for the signal traveling to the target and back. The Doppler effect enables radar to measure the radial velocity of a target by detecting the frequency shift in the returned signal caused by relative motion. For a target moving with radial velocity vv relative to the radar (positive for approaching), the Doppler frequency shift is Δf=2vfc\Delta f = \frac{2 v f}{c}, where ff is the transmitted frequency; this shift is positive for approaching targets, increasing the received frequency, and negative for receding ones. In pulsed radar systems, the pulse repetition frequency (PRF) introduces range and velocity ambiguities. The maximum unambiguous range is limited by Rmax=c2PRFR_{\max} = \frac{c}{2 \cdot \text{PRF}}, beyond which echoes from subsequent pulses may overlap, causing aliasing. Similarly, velocity measurements face ambiguities when the Doppler shift exceeds ±PRF2\pm \frac{\text{PRF}}{2}, leading to folded velocities that require higher PRF or multiple PRF schemes for resolution; velocity resolution improves with longer integration times, typically Δv=λ2Td\Delta v = \frac{\lambda}{2 T_d}, where λ\lambda is the wavelength and TdT_d is the dwell time. Synthetic aperture radar (SAR) extends range measurements to form high-resolution images by collecting multiple echoes along a platform's motion path, using time-of-flight data to map slant range to ground range for two-dimensional imaging.

Radar Equation

The radar equation provides a fundamental relationship between the power received by a radar system from a target echo and the key parameters of the transmitter, antenna, target, and propagation environment, enabling the prediction of detection range and system performance. This equation is essential for designing radars, as it quantifies how factors like transmit power and target reflectivity influence the signal strength at the receiver. The derivation of the basic radar equation begins with the power density incident on the target, which for a monostatic radar (where transmitter and receiver are co-located) is given by Si=PtGt4πR2S_i = \frac{P_t G_t}{4\pi R^2}, where PtP_t is the peak transmit power, GtG_t is the transmit antenna gain, and RR is the range to the target. The target reflects this power according to its radar cross section σ\sigma, producing an isotropic scattered power density back at the radar of Sr=PtGtσ(4π)2R4S_r = \frac{P_t G_t \sigma}{(4\pi)^2 R^4}. The received power PrP_r is then this scattered density multiplied by the effective aperture area of the receive antenna Ae=Grλ24πA_e = \frac{G_r \lambda^2}{4\pi}, where GrG_r is the receive antenna gain and λ\lambda is the wavelength, yielding the core equation: Pr=PtGtGrλ2σ(4π)3R4P_r = \frac{P_t G_t G_r \lambda^2 \sigma}{(4\pi)^3 R^4} This form assumes a point target and free-space propagation without absorption. For reliable detection, the received signal must exceed the noise floor by a minimum signal-to-noise ratio (SNR_min), typically determined by the desired probability of detection and false alarm rate. The noise power is N=kTBFN = k T B F, where kk is Boltzmann's constant, TT is the system noise temperature (often around 290 K), BB is the receiver bandwidth, and FF is the noise figure accounting for receiver inefficiencies. System losses LL (e.g., due to radome or mismatch) further attenuate the signal, leading to the detection criterion \frac{P_r}{N} \geq \text{SNR_min}. Solving for the maximum detection range RmaxR_{\max} gives: R_{\max} \propto \left[ \frac{P_t G_t G_r \lambda^2 \sigma}{\text{SNR_min} (4\pi)^3 k T B F L} \right]^{1/4} This fourth-root dependence highlights the challenge of extending range, as quadrupling RmaxR_{\max} requires a 256-fold increase in the numerator. Variations of the equation account for operational modes. In tracking radars, which focus on a known target location, the equation uses peak power and assumes full antenna gain on the target, as in the basic form above. Search radars, however, scan a volume and spend only a fraction of time illuminating any single point, incorporating average transmit power Pav=Ptduty cycleP_{av} = P_t \cdot \text{duty cycle} and the solid angle searched Ωs\Omega_s, reducing effective sensitivity by the scan factor. These adaptations ensure the equation models real-world trade-offs in coverage versus precision. The derivations rely on simplifying assumptions, including isotropic radiators for the target scattering (modified by σ\sigma), free-space path loss without atmospheric or multipath effects, and a point-like target with no extent or motion during the pulse.

Polarization

In radar systems, electromagnetic waves can be transmitted with specific polarization states, which significantly influence signal propagation, target interaction, and detection capabilities. Linear polarization occurs when the electric field oscillates in a single plane, either horizontal or vertical relative to the ground. Horizontal polarization aligns the electric field parallel to the Earth's surface, while vertical polarization aligns it perpendicularly. These are common in surveillance radars for their simplicity in antenna design. Circular polarization involves the electric field rotating in a helical pattern as the wave propagates, with left-hand circular (LHCP) rotating counterclockwise and right-hand circular (RHCP) rotating clockwise when viewed in the direction of propagation. This rotation helps mitigate losses from polarization mismatch with rotating targets like aircraft. Elliptical polarization is a more general case where the electric field traces an ellipse, combining unequal linear components with a phase difference; it arises when linear and circular elements are not perfectly aligned. Polarization experiences notable effects during propagation through the atmosphere and ionosphere. In the ionosphere, Faraday rotation causes the plane of linear polarization to rotate due to interactions with the Earth's magnetic field and free electrons, with the rotation angle proportional to the total electron content (TEC) and inversely proportional to the square of the frequency. This effect is pronounced at lower frequencies, such as VHF or HF bands used in over-the-horizon radars, potentially leading to up to 90 degrees of rotation under high TEC conditions. Atmospheric depolarization, particularly from rain or ice particles, occurs through differential attenuation and phase shifts between orthogonal polarization components, converting linearly polarized waves into partially depolarized states. For instance, at microwave frequencies like 8 GHz, heavy rain rates can induce significant depolarization, with losses exceeding 18 dB for circular polarization over moderate path lengths. These propagation effects must be accounted for in long-range or space-based radar designs to avoid signal degradation. Polarization enhances target discrimination by exploiting differences in how targets scatter co-polarized and cross-polarized components. Co-polarized returns maintain the same orientation as the transmitted wave (e.g., horizontal transmit and receive), while cross-polarized returns involve orthogonal orientations (e.g., horizontal transmit, vertical receive), revealing depolarization caused by target shape, orientation, or material. Symmetric targets like spheres produce minimal cross-polarization, whereas asymmetric ones like aircraft generate stronger cross-polarized signals, enabling distinction from clutter. Polarization isolation, achieving 25-30 dB separation between channels, allows radars to reject clutter by selecting returns in the cross-polarized channel, where clutter like rain often depolarizes less than desired targets. This technique is particularly effective in environments with sea or ground clutter, improving signal-to-clutter ratios without relying solely on Doppler processing. Polarimetric radars fully characterize target scattering by measuring the complete polarization response through the Sinclair scattering matrix, a 2x2 complex matrix relating incident and scattered electric fields: [S]=[ShhShvSvhSvv][S] = \begin{bmatrix} S_{hh} & S_{hv} \\ S_{vh} & S_{vv} \end{bmatrix} Here, ShhS_{hh} and SvvS_{vv} represent co-polarized backscattering for horizontal-horizontal (HH) and vertical-vertical (VV) channels, while ShvS_{hv} and SvhS_{vh} capture cross-polarized responses for horizontal-vertical (HV) and vertical-horizontal (VH) channels; reciprocity in monostatic radars implies Shv=SvhS_{hv} = S_{vh}. This matrix depends on the target's geometry, frequency, and aspect angle, allowing synthesis of responses for arbitrary polarizations and improving classification accuracy over single-polarization systems. In weather radar applications, polarimetric measurements excel at identifying rain types and hydrometeor characteristics. Dual-polarization systems transmit alternately in horizontal and vertical polarizations, deriving parameters like differential reflectivity (Z_DR) and correlation coefficient (CC) to distinguish stratiform rain (oblate drops, high Z_DR) from convective rain (more spherical, lower Z_DR) or hail (high reflectivity with low CC). The hydrometeor classification algorithm uses these to categorize precipitation as rain, hail, snow, or sleet, enhancing rainfall estimation accuracy and aiding flash flood warnings. Specific differential phase (K_DP) further refines rain rate estimates in heavy precipitation, mitigating attenuation biases.

History

Early Experiments

The foundational experiments demonstrating the principles of electromagnetic wave reflection, which would later underpin radar technology, were conducted by Heinrich Hertz in 1886–1888. Working in Karlsruhe, Germany, Hertz generated radio waves using a spark-gap transmitter and dipole receiver setup, confirming James Clerk Maxwell's predictions by producing, transmitting, and detecting these waves over short distances in his laboratory. In one key demonstration in 1888, he placed a large metal plate reflector opposite the transmitter and observed interference patterns formed by the incident waves and their reflections from the plate, illustrating how radio waves could bounce off metallic surfaces similar to light. These experiments established the basic physics of wave propagation and reflection essential for object detection. Building directly on Hertz's findings, Christian Hülsmeyer developed the first practical device for detecting distant objects using radio echoes. In April 1904, he patented the "telemobiloscope" (also known as the telemeter) in Germany (Reichspatent Nr. 165546), with subsequent patents in the UK and US, specifically designed to prevent ship collisions in foggy conditions by alerting operators to nearby vessels. The apparatus employed a spark-gap transmitter powered by an induction coil to emit short bursts of high-frequency radio waves (around 40–50 cm wavelength) through a directional parabolic antenna, while a receiver with a simple detector captured returning echoes from metallic hulls, triggering an audible alarm or indicator. On May 17, 1904, Hülsmeyer publicly demonstrated the device near the Hohenzollern Bridge in Cologne, Germany, where it successfully detected an approaching barge on the Rhine River and rang a bell when the vessel came within several hundred meters. The IEEE recognizes this as the world's first operable radar predecessor, dedicated as a historic milestone in 2019. In the early 20th century, Guglielmo Marconi further advanced these concepts through serendipitous observations during radio communication tests. In 1922, while experimenting with shortwave transmissions aboard the yacht Elettra in the Mediterranean Sea near Genoa, Italy, Marconi noted sudden changes in signal strength and interference patterns caused by the passage of a nearby merchant ship, which he attributed to radio waves reflecting off the vessel's metal structure. This accidental detection of ship echoes highlighted the potential for using radio reflections for navigation and object location, though Marconi did not pursue a dedicated detection system at the time. Italian researchers later built on this insight, marking 1922 as a pivotal year in radar's conceptual evolution. These pioneering efforts were constrained by fundamental technological limitations, particularly the low output power of spark-gap transmitters and the absence of electronic amplification, which restricted detection ranges to mere kilometers at best—typically under 3 km for Hülsmeyer's device against large ships. Without vacuum tube amplifiers or high-power oscillators, the weak transmitted signals and faint returning echoes proved insufficient for reliable long-range or precise measurements, hindering practical adoption despite the demonstrated physics.

Pre-World War II Developments

In the early 1930s, the United States Naval Research Laboratory (NRL) launched coordinated research into radio-based detection systems, building on earlier ionospheric studies to explore aircraft ranging. In December 1934, NRL engineer Robert M. Page demonstrated pulse modulation techniques in a 60 MHz system, successfully detecting an aircraft at a range of about 1 mile (1.6 km) along the Potomac River. This marked a shift from continuous-wave interference methods to pulsed radar, enabling precise range determination and overcoming limitations in earlier beat-frequency approaches. By 1936, NRL prototypes operating at 80 MHz routinely achieved aircraft detections at 38 miles, with demonstrations reaching 50 miles, laying the groundwork for naval integration while maintaining strict secrecy. Across the Atlantic, British efforts formalized under the Air Ministry following physicist Robert Watson-Watt's 1935 memorandum advocating radio detection for air defense. On February 26, 1935, Watson-Watt and Arnold F. Wilkins conducted the pivotal Daventry experiment near a BBC transmitter, using a modified receiver to detect echoes from a Handley Page Heyford bomber flying at 8 miles (12.8 km) altitude and range. This proof-of-concept, which plotted signal distortions on an oscilloscope, convinced officials of radar's viability, prompting immediate funding for scaled development. In 1936, the Bawdsey Research Station was established on the Suffolk coast as the Air Ministry's dedicated facility for radio direction finding (RDF), where teams refined pulse techniques and erected experimental towers for chain-home systems, achieving operational prototypes by 1937 under wartime secrecy protocols. German naval research paralleled these advances, driven by the Kriegsmarine's need for surface detection amid treaty restrictions. In 1933, Dr. Rudolf Kühnhold, scientific director at the Nachrichtenmittel-Versuchsanstalt (NVA) in Kiel, proposed adapting submarine echo-sounding principles to electromagnetic waves for ship location, leading to the Seetakt (sea tactician) radar's initial tests in 1934. The prototype, operating at 50 MHz with a Yagi antenna, detected large vessels at 10-12 km during Kiel Harbor trials, and by 1935, GEMA GmbH produced shipboard versions for gunnery control, installed on cruisers like the Emden. Complementing naval focus, Telefunken's 1935 entry into radar research yielded the Freya air-warning set by 1938, a 125 MHz pulse system detecting bombers at up to 100 miles (160 km) with directional antennas, deploying eight units pre-war for Luftwaffe early warning. Japanese and French programs, though initiated in the mid-1930s, remained exploratory and constrained by resources. In Japan, Professor Kinjiro Okabe at Osaka University demonstrated electronic detection methods for aircraft in 1936 using continuous waves and the Doppler-interference technique, but naval efforts focused on basic ranging without widespread pulse adoption until 1941. France's Établissement de Recherches conducted aircraft detection trials from 1934, with Pierre David proposing an "electromagnetic barrier" using beat-frequency receivers in a bistatic configuration, with full-scale tests in the 1930s achieving aircraft detection ranges up to approximately 230 km, yet progress stalled without operational ship radars due to competing priorities. These national initiatives in the 1930s transformed isolated experiments into structured programs, prioritizing pulse modulation for range accuracy while shrouding developments in secrecy ahead of global tensions.

World War II Advancements

During World War II, radar technology underwent rapid advancements driven by wartime necessities, particularly in early warning and fire control systems. The United Kingdom's Chain Home (CH) system, operational by 1940, formed a network of radar stations along the east and south coasts to provide air defense against Luftwaffe raids. These stations detected incoming aircraft at ranges up to 120 miles, offering approximately 20 minutes of warning time, and integrated with the Dowding System to direct RAF Fighter Command intercepts. The addition of Chain Home Low (CHL) stations in 1940 addressed vulnerabilities to low-flying aircraft, enhancing overall coverage. A pivotal Allied innovation was the cavity magnetron, invented by John Randall and Harry Boot at the University of Birmingham, with the first prototype demonstrated on February 21, 1940. This device generated high-power microwaves at centimetric wavelengths (around 10 cm), enabling compact, high-resolution radar sets suitable for airborne use. By 1941, scaled versions produced over 100 kW of pulsed power, allowing detection of small targets like submarines from aircraft, which proved crucial in naval warfare. The technology was shared with the United States via the Tizard Mission in September 1940, accelerating Allied microwave radar production. In the United States, radar development focused on mobile early warning systems and integrated munitions. The SCR-270, developed by the Signal Corps Laboratories and first demonstrated in 1937, was deployed at Pearl Harbor by December 1941, where it detected incoming Japanese aircraft but whose warnings were disregarded. This 3-meter wavelength set provided long-range surveillance, contributing to U.S. defensive capabilities in the Pacific. Complementing this, the proximity fuze—initiated by the National Defense Research Council in June 1940 and tested aboard USS Cleveland in August 1942—incorporated a miniature radar transceiver in artillery shells to detonate near targets via reflected signals. First combat use occurred on January 6, 1943, off Guadalcanal, increasing anti-aircraft lethality by a factor of 3-4 compared to time fuzes. Axis powers also advanced radar for defensive and control purposes. Germany's Würzburg radar, operational from 1940, served as a primary fire-control system for the Luftwaffe and Kriegsmarine, using a 3-meter dish antenna to track aircraft and direct anti-aircraft guns and searchlights. Its low-UHF band design supported precise targeting in air defense networks. Japan developed Identification Friend or Foe (IFF) systems integrated with ground-controlled interception radars, such as the Army's Tachi-13 interrogator (184 MHz transmit) paired with Taki-15 transponders and the Navy's No. 62 radar (146-155 MHz), to distinguish friendly aircraft on A-scope displays. These systems, though produced in limited numbers (e.g., about 10 Taki-15 units), aimed to enhance radar coordination but faced technical and deployment challenges. Radar decisively influenced key WWII engagements. In the Battle of Britain (July-October 1940), Chain Home's early warnings enabled the RAF to intercept Luftwaffe formations efficiently, preserving air superiority and thwarting invasion plans by denying Germany effective bombing of bases and cities. During the hunt for the German battleship Bismarck in May 1941, British ships like HMS Prince of Wales employed Type-284 radar to achieve accurate ranging and early hits on May 24, while cruisers Suffolk and Norfolk used radar for initial contacts, facilitating the coordinated Allied pursuit that led to Bismarck's sinking on May 27. In contrast, Bismarck's Seetakt radar failed early due to gun blast effects, underscoring Allied technological edges.

Post-War Evolution

Following World War II, the declassification of radar technologies enabled their rapid commercialization and adaptation for civilian purposes. The MIT Radiation Laboratory's Summary Technical Report of Division 14, published in 1946, documented wartime microwave radar advancements across 27 volumes and was distributed publicly by the War and Navy Departments, fostering applications in transportation, communications, and scientific research. Systems like Ground Controlled Approach (GCA) radar, operational at U.S. and international bases by 1945, were designed for blind landings without aircraft modifications and transitioned to civilian aviation. In 1946, the U.S. Civil Aeronautics Administration (CAA) demonstrated a radar-equipped airport tower using surplus Navy equipment, laying the groundwork for air traffic control integration. By fiscal 1950, the CAA deployed the first Airport Surveillance Radar (ASR-1) systems, enhancing en route monitoring and safety at key facilities. During the Cold War, radar evolved to address ballistic missile and bomber threats, with phased-array systems emerging as a key innovation in the 1960s. The AN/FPS-85, a UHF 3D phased-array radar developed by Bendix, was constructed at Eglin Air Force Base post-1962 Cuban Missile Crisis and became operational in 1969 after rebuilding from a 1965 fire, enabling satellite tracking and submarine-launched ballistic missile detection. Over-the-horizon (OTH) radars were concurrently developed in U.S. Air Force and Navy laboratories starting in the 1960s, initially for long-range early warning against Soviet incursions, with contributions from Stanford University researchers. The Navy's relocatable OTH radar (ROTHR) was first demonstrated in the early 1980s, extending surveillance capabilities beyond line-of-sight horizons. The digital era transformed radar in the 1970s through computer integration for signal processing, improving real-time analysis and clutter rejection. Lincoln Laboratory's Fast Digital Processor (FDP), operational from 1967 to 1970, delivered approximately 200 times the throughput of general-purpose computers using emitter-coupled logic, supporting FAA Doppler weather avoidance and military radar modes. The Moving-Target Detector (MTD) processors, tested with prototypes like MTD-1 in 1974 and MTD-2 using parallel microprogrammed architectures, enhanced airport surveillance by digitally filtering returns to detect targets in heavy clutter. By the 1990s, active electronically scanned arrays (AESA) advanced further, with X-band systems becoming operational through gallium arsenide improvements and monolithic microwave integrated circuits (MMICs) that integrated multiple chips into compact transmit-receive modules. Prototyping efforts, including those for the Joint Strike Fighter program around 1990, demonstrated AESA viability for agile, high-performance airborne radars. Up to 2025, radar innovations have incorporated quantum principles, artificial intelligence, and metamaterials for enhanced detection in complex environments. Quantum radar prototypes, utilizing entangled photons for stealth countermeasures, progressed with China's 2025 trials of drone-mounted quantum magnetometers in the South China Sea for submarine detection at extended ranges. AI-enhanced processing has bolstered drone surveillance; in 2025, the U.S. Department of Homeland Security integrated MatrixSpace's compact AI radar, providing 360-degree coverage, real-time classification, and detection up to 1.1 km for small drones even in adverse weather. Metamaterial enhancements, including reconfigurable microwave metasurfaces with PIN diode tuning, enable dynamic beamsteering and polarization control in radar antennas, as detailed in the 2025 active metamaterials roadmap, supporting broader bandwidths from 300 MHz to 300 GHz.

Applications

Military Uses

Radar has been a cornerstone of military operations since its development, providing critical capabilities for detection, tracking, and engagement in various domains. In air defense, radar systems enable early warning by detecting incoming aircraft or missiles at long ranges, allowing time for interception. For instance, the AN/FPS-85 radar, operated by the U.S. Air Force, can detect ballistic missiles over 3,000 miles away, supporting strategic defense networks. Fighter direction uses radar to guide interceptors toward targets, a technique refined during conflicts to coordinate aerial combat. Missile guidance systems, such as the phased-array radar in the Patriot surface-to-air missile system, provide real-time tracking and illumination for semi-active homing warheads, achieving intercepts against high-speed threats like cruise missiles. Naval applications of radar have transformed maritime warfare by enhancing situational awareness and precision targeting. Surface search radars, like those integrated into modern destroyers, detect ships and low-flying aircraft beyond visual range, often up to 200 nautical miles depending on conditions. Fire control radars direct naval gunfire or missile launches with high accuracy; for example, the Mark 45 gun system on U.S. Navy vessels uses radar for automated tracking. In anti-submarine warfare, active sonar complements radar, but airborne radars such as the AN/APS-154 on P-8 Poseidon aircraft detect periscopes or surfaced submarines by scanning ocean surfaces for anomalies. The Aegis Combat System, deployed on U.S. and allied warships, employs the SPY-1 radar for simultaneous tracking of over 100 targets, enabling layered defense against air and surface threats. Ground-based military radars support tactical operations on land by providing surveillance and targeting data in dynamic environments. Battlefield surveillance radars, such as the AN/TPQ-53, locate enemy artillery by triangulating projectile trajectories, allowing counter-battery fire within seconds of detection. These systems operate in the S-band for weather penetration and can track multiple rounds simultaneously. Artillery spotting radars assist forward observers by monitoring shell impacts and adjusting fire, improving accuracy in engagements. In urban or forested terrains, ground radars like the Israeli EL/M-2084 detect personnel movement via micro-Doppler signatures, aiding infantry operations. Emerging military radar technologies address new threats in contested domains. Counter-drone radars, such as the U.S. Army's KuRFS (Ku-band Radio Frequency System), use gallium nitride arrays to detect small unmanned aerial vehicles at ranges exceeding 10 kilometers, even in cluttered airspace. These systems integrate with kinetic and electronic effectors for neutralization. In space domain awareness, ground-based radars like the Space Fence track orbital objects, including satellites and debris, to prevent collisions and monitor adversarial assets; the Space Fence contributes to the US Space Surveillance Network's catalog of over 29,000 orbital objects as of 2025, with the capability to detect objects as small as 10 centimeters in diameter. Historically, radar's military impact was pivotal in World War II, where chain home radars in Britain provided early warning against Luftwaffe raids, extending detection to 150 miles. Night fighters equipped with AI (airborne interception) radars, such as the British AI Mk. IV, enabled engagements in darkness by closing to within 200 yards for visual identification. In modern contexts, detecting stealth aircraft poses challenges due to low-observable designs, prompting advancements in low-frequency radars that exploit longer wavelengths for better returns against radar-absorbent materials, though at the cost of resolution. Jamming countermeasures, like frequency agility, enhance radar resilience in electronic warfare scenarios.

Civilian and Commercial Applications

In aviation, radar systems are essential for air traffic control, ensuring safe separation and navigation of aircraft in civilian airspace. Primary surveillance radar (PSR) detects aircraft positions by transmitting radio waves that reflect off the aircraft, measuring range via the time delay of echoes and azimuth from the antenna's direction, typically operating in the S-band for reliable detection up to 60 nautical miles. Secondary surveillance radar (SSR), also known as the Air Traffic Control Radar Beacon System (ATCRBS), enhances PSR by interrogating aircraft transponders to obtain additional data such as altitude and identification codes, improving target discrimination in dense traffic. The Airport Surveillance Radar (ASR-11), an integrated PSR-SSR system, supports terminal operations with weather detection capabilities calibrated to National Weather Service standards, allowing pilots to avoid hazardous conditions like thunderstorms. Automotive radar has become integral to advanced driver-assistance systems (ADAS), enhancing vehicle safety through real-time environmental sensing. Operating primarily in the 77 GHz millimeter-wave band, these radars provide precise distance and velocity measurements for features like adaptive cruise control (ACC), which maintains safe following distances by tracking vehicles ahead up to 250 meters. Blind-spot detection (BSD) uses short- and mid-range 77 GHz sensors to monitor adjacent lanes, alerting drivers to overtaking vehicles or obstacles with high angular resolution, contributing to reduced collision risks in lane changes. This frequency band offers advantages over older 24 GHz systems, including narrower beamwidths for better resolution and higher data rates suitable for integration with vehicle automation. In maritime applications, radar facilitates collision avoidance and port operations by detecting surface vessels and obstacles in all weather conditions. Navigation radars, often in the X-band (9 GHz), display relative motion vectors to predict collision courses, enabling officers to execute evasive maneuvers under International Regulations for Preventing Collisions at Sea. Integration with the Automatic Identification System (AIS) overlays vessel identity, position, and speed data on radar displays, enhancing situational awareness without replacing visual or radar-based assessments. For port monitoring, shore-based radar systems track vessel traffic in confined waters, supporting efficient berthing and reducing congestion through automated plotting aids. Weather radar plays a critical role in civilian forecasting and safety by mapping atmospheric phenomena. The Next Generation Weather Radar (NEXRAD) network, comprising 160 S-band Doppler radars jointly operated by the National Weather Service, Federal Aviation Administration, and U.S. Air Force, detects precipitation intensity and motion through radial velocity measurements. Doppler processing tracks storm development and precipitation types—such as rain, hail, or snow—enabling timely warnings for aviation, agriculture, and public alerts. In the 2020s, radar technology has advanced with 5G integration, particularly in automotive and urban traffic management, to enable connected and autonomous systems. 5G-connected ultra-wideband (UWB) radars achieve low-latency data transmission (median 75 ms) for real-time vehicle tracking and classification, with detection accuracies exceeding 94% in urban environments. This fusion supports vehicle-to-infrastructure communication for dynamic traffic signal control and congestion mitigation, scaling to large deployments at costs around €600 per unit.

Scientific and Environmental Monitoring

Radar plays a pivotal role in scientific monitoring by enabling high-resolution imaging and motion detection in environments where optical sensors fail, such as planetary surfaces shrouded in thick atmospheres or Earth's polar regions under perpetual darkness. In space exploration, synthetic aperture radar (SAR) systems have revolutionized planetary mapping. The NASA Magellan mission, launched in 1989 and operational from 1990 to 1994, utilized an L-band SAR to produce the first comprehensive global map of Venus, covering 98% of the planet's surface at resolutions as fine as 100 meters. This radar penetrated Venus's dense cloud cover to reveal geological features including volcanoes, lava flows, and tectonic structures, providing unprecedented insights into the planet's surface evolution. For Earth observation, the European Space Agency's Sentinel-1 constellation employs C-band SAR instruments on two satellites orbiting 180 degrees apart, achieving global coverage every six days regardless of weather or lighting conditions. Launched starting in 2014, Sentinel-1 delivers interferometric SAR data for monitoring surface deformation, land subsidence, and cryospheric changes, supporting climate research and disaster assessment. In environmental applications, SAR excels at detecting subtle surface alterations. Glacier dynamics are tracked using SAR interferometry to measure ice flow velocities and elevation changes; for instance, Sentinel-1 data has been applied to quantify seasonal melt on Alpine and Arctic glaciers, revealing flow speeds up to several meters per day in surging events. Oil spills are identified through SAR's sensitivity to reduced sea surface roughness, where dark patches in backscatter images indicate slicks; studies using Sentinel-1 imagery have mapped spills in open waters under varying wind conditions, aiding rapid environmental response. Forestry biomass estimation leverages SAR backscatter, which correlates with vegetation density and structure; multi-temporal L-band SAR data, combined with machine learning, has estimated aboveground biomass in tropical forests with accuracies exceeding 80% at plot scales, informing carbon stock assessments. In astronomical research, radio telescopes function as passive radars by detecting reflections from ionized meteor trails ionized by atmospheric entry. These trails scatter VHF and UHF radio waves from opportunistic transmitters, such as FM stations, allowing telescopes like the Long Wavelength Array (LWA) to map meteor fluxes across the sky; observations at 55 MHz have imaged all-sky meteor patterns, contributing to studies of meteoroid populations and sporadic sources. Wildlife tracking benefits from low-power, non-invasive radars designed for ecological studies. Portable X-band radars have been used to monitor bird migration, quantifying nocturnal flight altitudes (typically 500-2000 meters) and speeds (up to 60 km/h), as well as flock densities during seasonal movements in North America and Europe. Recent advances as of 2025 emphasize bistatic radar configurations for enhanced ice sheet monitoring amid climate change. The TanDEM-X mission's bistatic SARIn mode, operational since 2010 with extensions into the 2020s, provides high-precision digital elevation models of Antarctic and Greenland ice sheets, capturing sub-meter elevation changes and flow dynamics over vast areas. A 2024 study demonstrated bistatic interferometry's potential to reduce surface elevation biases in ice sheet altimetry, improving mass balance estimates by integrating multi-baseline observations. These developments, including fractionated radar concepts for future missions, enable deeper probing of basal ice properties and subglacial hydrology, addressing gaps in understanding accelerated ice loss.

Signal Processing

Distance Measurement Techniques

In radar systems, distance measurement primarily relies on the time-of-flight principle, where the round-trip propagation delay of electromagnetic waves to a target and back is used to compute range. In pulse radar, short bursts of radio frequency energy are transmitted, and the time TRT_R between transmission and reception of the echo determines the target range R=cTR2R = \frac{c T_R}{2}, with cc denoting the speed of light at approximately 3×1083 \times 10^8 m/s. This transit time measurement assumes a monostatic configuration where transmitter and receiver are co-located; for bistatic setups, the formula adjusts to account for separate paths. The inherent limitation of this approach is range resolution, defined as the minimum distinguishable separation between two targets, given by ΔR=cτ2\Delta R = \frac{c \tau}{2}, where τ\tau is the transmitted pulse width. Narrower pulses improve resolution but reduce energy on target, constraining detection range. Frequency-modulated continuous wave (FMCW) radar offers an alternative for precise ranging without discrete pulses, transmitting a continuously varying frequency signal, typically a linear chirp, and mixing the received echo with the transmitted signal to produce a beat frequency. The beat frequency fbf_b is proportional to the target range, expressed as fb=2Rfmcf_b = \frac{2 R f_m}{c}, where fmf_m is the chirp rate (frequency sweep per unit time). Solving for range gives R=fbc2fmR = \frac{f_b c}{2 f_m}, enabling direct extraction via frequency analysis, such as fast Fourier transform on the intermediate frequency signal. This method excels in short- to medium-range applications like automotive sensing, where chirp rates of 200 MHz/μs over bandwidths up to 8 GHz achieve resolutions below 1 m, though it requires careful management of non-linearities in the chirp to avoid range errors. To reconcile the trade-off between pulse energy and resolution in pulse radar, pulse compression techniques employ modulated waveforms processed through matched filtering to effectively shorten the pulse post-reception. Linear frequency-modulated (chirp) signals, where frequency varies linearly over the pulse duration, are common; the received echo is correlated with a replica of the transmitted signal using a matched filter, compressing the long pulse into a short, high-amplitude output. The processing gain equals the time-bandwidth product TBTB, where TT is the uncompressed pulse duration and BB is the modulation bandwidth, often yielding gains of 20–50 dB for TBTB values of 100–100,000. This enhances signal-to-noise ratio while maintaining fine resolution determined by BB, as seen in weather radars using 4 MHz bandwidth chirps over 69 μs pulses for TB=276TB = 276, improving sensitivity without increasing peak power. Synthetic aperture radar (SAR) extends range measurement by leveraging platform motion to synthesize a larger aperture, focusing echoes in the range dimension through basic pulse compression akin to conventional radar. Range resolution in SAR is Δr=c2B\Delta r = \frac{c}{2B}, where BB is the signal bandwidth, providing slant range resolution independent of platform altitude, with ground range resolution determined by the incidence angle, yielding 20–30 m for bandwidths around 15 MHz at 23° look angles. The focusing process coherently sums delayed echoes to mitigate range migration, concentrating energy without delving into full two-dimensional imaging algorithms, as demonstrated in early spaceborne systems like Seasat SAR. Range ambiguities arise when echoes from multiple pulses overlap within the unambiguous range Ru=c2fPRFR_u = \frac{c}{2 f_{PRF}}, where fPRFf_{PRF} is the pulse repetition frequency, limiting maximum measurable distance. Mitigation strategies include operating in medium PRF modes (typically 5–15 kHz), which balance range and Doppler ambiguities by accepting some overlap but resolving it via staggered pulse repetition intervals (PRT), varying fPRFf_{PRF} across pulses to unfold aliased returns. High PRF modes (>15 kHz) prioritize unambiguous Doppler for velocity accuracy but exacerbate range folding; ambiguities are addressed through phase coding or multiple PRF dwells, as implemented in weather surveillance radars like WSR-88D, where staggered PRT enhances effective RuR_u to 460 km while suppressing second-trip echoes by 40–50 dB. These techniques ensure reliable ranging in cluttered environments without excessive computational overhead.

Speed Measurement Methods

Radar systems measure target speed primarily through the detection of Doppler frequency shifts caused by relative motion between the radar and the target. In continuous wave (CW) Doppler radar, the transmitted signal is unmodulated and continuous, allowing direct measurement of the frequency shift Δf in the received echo, which is proportional to the radial velocity v via the relation f_d = 2v f / c, where f is the carrier frequency and c is the speed of light. This method excels in scenarios requiring precise relative speed estimation without range information, such as traffic monitoring or simple motion sensors, as it avoids pulse-related ambiguities but cannot distinguish stationary targets from the transmitter. Pulsed Doppler radar extends velocity measurement to include range resolution by transmitting short pulses and analyzing the phase shift Δφ between successive echoes from the same target. The radial velocity is derived from v = (Δφ c) / (4π f τ), where τ is the pulse repetition interval, f is the carrier frequency, and c is the speed of light; this phase difference arises from the Doppler-induced change over the interval between pulses. This technique enables unambiguous velocity determination within the Nyquist limit set by the pulse repetition frequency (PRF), making it suitable for airborne or maritime applications where both position and speed are needed. To enhance detection of moving targets amid stationary clutter, moving target indicator (MTI) systems employ a delay-line canceller that subtracts consecutive pulse returns, effectively filtering out zero-Doppler echoes from fixed objects like ground or sea clutter. In a basic two-pulse canceller, the difference between echoes separated by one pulse repetition interval highlights motion-induced phase changes while nulling stationary returns, improving signal-to-clutter ratios by up to 30-40 dB in typical environments. Advanced implementations, such as three- or four-pulse cancellers, further refine rejection of slow-moving clutter through weighted subtraction, though they increase hardware complexity. For high-speed targets that exceed standard velocity resolution limits, triple time-around processing uses staggered or multiple PRFs to resolve ambiguities from echoes arriving after multiple round trips to the maximum unambiguous range. By alternating three distinct PRFs within a coherent processing interval, the system disambiguates velocity by correlating Doppler shifts across the varying intervals, allowing detection of targets up to several times the base blind speed without range folding errors. This approach is particularly valuable in air traffic control or missile defense radars, where fast-moving objects like aircraft or projectiles must be tracked accurately at long ranges. A key limitation of pulsed and MTI speed measurement methods is the occurrence of blind speeds, where target velocities v = n λ PRF / 2 (with n an integer, λ the wavelength, and PRF the pulse repetition frequency) produce phase shifts that are integer multiples of 2π, mimicking stationary clutter and evading detection. These ambiguities, which repeat at intervals scaling with PRF, necessitate careful system design, such as PRF selection or diversification, to minimize blind zones for operational scenarios.

Pulse-Doppler Processing

Pulse-Doppler processing in radar systems enables simultaneous estimation of target range and radial velocity by coherently integrating returns from a sequence of transmitted pulses over a defined coherent processing interval (CPI). This architecture relies on phase-coherent transmission and reception, where the radar emits N pulses at a fixed pulse repetition frequency (PRF) within the CPI, typically lasting from milliseconds to seconds depending on the application. The coherent integration enhances the signal-to-noise ratio (SNR) by accumulating phase information across pulses, allowing extraction of fine Doppler shifts that indicate target motion relative to the radar platform. As defined in IEEE Standard Radar Definitions, the CPI encompasses the transmission of these N coherent pulses, followed by processing to form Doppler filters that discriminate velocities. Central to this processing is the use of fast Fourier transform (FFT)-based Doppler filtering, which transforms the time-domain pulse returns into the frequency domain to produce a two-dimensional range-Doppler map. After range compression via matched filtering on each pulse to resolve distances, the slow-time samples (across the CPI) for each range bin undergo FFT, yielding Doppler frequency bins that correspond to velocity estimates. This results in a map where intensity peaks indicate targets at specific range-velocity coordinates, facilitating detection in dynamic environments. Such FFT processing is a cornerstone of modern Pulse-Doppler systems, as detailed in foundational radar signal processing literature from MIT Lincoln Laboratory, where it supports high-resolution velocity profiling through efficient spectral analysis. A key feature for airborne applications is the clutter notch, a frequency-domain filter that rejects stationary or low-velocity ground returns, which otherwise mask moving targets. In look-down scenarios, platform motion Doppler-shifts clutter returns toward zero frequency after compensation; the notch, often implemented as a stopband in the Doppler filter bank, suppresses these signals (typically 20-40 dB attenuation) while passing higher-Doppler target returns. This technique, essential for suppressing surface clutter in Pulse-Doppler radars, was advanced in early NASA studies on adaptive filtering for low-altitude operations. High PRF modes enhance look-down/shoot-down capability by operating at pulse repetition frequencies exceeding 10 kHz, reducing range ambiguities to short distances suitable for tactical engagements while providing a wide unambiguous Doppler passband for velocity measurements up to several hundred m/s. These modes trade off range coverage for improved velocity resolution and clutter rejection, enabling detection of low-flying targets against ground returns, as analyzed in military radar optimization reports. The velocity resolution in Pulse-Doppler processing, which governs the minimum distinguishable radial velocity difference, is determined by the equation δv=λ2T\delta v = \frac{\lambda}{2 T} where λ\lambda is the radar wavelength and TT is the CPI duration. This resolution improves with longer integration times but is constrained by factors like target acceleration and PRF selection, as derived in standard radar theory for Doppler-limited systems.

Interference Reduction Strategies

Interference in radar systems arises from various sources such as thermal noise, clutter, and external signals, degrading target detection and requiring strategies to maintain signal integrity. These techniques adaptively adjust processing to suppress unwanted components while preserving the signal-to-noise ratio (SNR), as referenced in the radar equation. Key methods focus on threshold adaptation, beam pattern optimization, waveform variation, multidimensional filtering, and polarization exploitation. Constant false alarm rate (CFAR) detection maintains a fixed probability of false alarms by dynamically setting detection thresholds based on local noise or clutter estimates. In CFAR processors, the threshold is computed from surrounding range-Doppler cells, adapting to non-homogeneous environments like sea clutter in marine radars. The seminal work by Hansen introduced CFAR for search radars, demonstrating its role in normalizing detection statistics under varying interference levels. Variants such as cell-averaging CFAR (CA-CFAR) average reference cells to estimate noise power, achieving robust performance with minimal computational overhead in real-time systems. Sidelobe suppression mitigates interference from off-axis sources entering through antenna sidelobes, using weighting functions applied to array elements during beamforming. These weights taper the aperture distribution to reduce sidelobe levels at the expense of slight mainlobe broadening, enhancing angular resolution and interference rejection. The Dolph-Chebyshev distribution provides an optimal weighting for uniform linear arrays, minimizing beamwidth for a specified peak sidelobe level through Chebyshev polynomial approximation. This method achieves sidelobe suppression of 20-40 dB in phased array radars, as validated in early antenna synthesis studies. Frequency agility employs rapid changes in transmitted carrier frequency across pulses to decorrelate interference and exploit frequency-dependent propagation effects. By hopping frequencies within the allocated band, radars avoid narrowband jammers and reduce multipath interference, improving detection in contested environments. Nathanson's analysis showed that frequency diversity enhances target classification and mitigates fading, with agile systems achieving 3-6 dB SNR gains over fixed-frequency operation in clutter-limited scenarios. Modern implementations use pseudorandom hopping sequences for low probability of intercept. Space-time adaptive processing (STAP) combines spatial and temporal filtering to suppress correlated interference like airborne clutter in airborne radars. STAP forms adaptive weights across antenna elements and pulse samples to null the space-time covariance of clutter, enabling detection of slow-moving targets. The foundational theory by Reed, Mallett, and Brennan established convergence criteria for sample matrix inversion, requiring at least 2N degrees of freedom for N-tap filters to achieve 10-20 dB clutter suppression. In practice, reduced-rank approximations lower dimensionality for real-time processing on platforms like the AN/APG-77 radar. Polarimetric filtering leverages polarization diversity to distinguish targets from interference by analyzing co- and cross-polarized returns. Cross-polarization subtraction isolates anomalous scatterers, such as man-made objects in natural clutter, by subtracting cross-pol components to enhance contrast. Early designs demonstrated polarimetric clutter cancellers reducing interference by 15-25 dB through optimal polarization basis selection, improving anomaly detection in synthetic aperture radar imagery. This approach exploits depolarization differences, with applications in environmental monitoring where linear depolarization ratio filters adaptively suppress volume clutter.

Target Tracking and Extraction

Target tracking and extraction in radar systems involve processing raw detections to form and maintain tracks of individual targets amidst noise, clutter, and multiple objects. Plot extraction is the initial step, where potential target detections—often represented as range-Doppler maps—are identified from the radar return signals. This typically begins with thresholding to separate signal peaks above a noise floor, followed by clustering to group nearby detections that likely belong to the same target. Conventional thresholding methods, such as constant false alarm rate (CFAR) techniques, adapt to varying noise levels, while clustering algorithms like density-based spatial clustering of applications with noise (DBSCAN) handle irregular shapes and outliers effectively, combining detections into representative plots for further processing. Track initiation establishes new tracks when potential targets appear in the extracted plots. Common logic includes selecting the strongest signal detections as initiators or using probabilistic approaches to associate measurements with emerging targets. The probabilistic data association (PDA) filter, particularly its modified variants, calculates the likelihood of measurements originating from a potential new track versus false alarms or existing tracks, enabling robust initiation in cluttered environments. This method has been validated for multiple target scenarios using real radar data, improving detection reliability by incorporating probabilistic weighting. Once initiated, tracks are maintained using predictive filtering to estimate target states over time, accounting for motion models and measurement uncertainties. The Kalman filter is a cornerstone algorithm for this, providing optimal recursive state estimation under Gaussian noise assumptions. In the prediction step, the state vector evolves as xk=Fxk1+w\mathbf{x}_k = F \mathbf{x}_{k-1} + \mathbf{w}, where xk\mathbf{x}_k is the state at time kk, FF is the state transition matrix, and w\mathbf{w} is process noise; the measurement update then refines this estimate using new observations, such as range and Doppler shifts from radar plots. This framework supports smooth tracking of maneuvering targets in phased array radars by decoupling position and velocity components. Track-while-scan (TWS) capability extends maintenance to scanning radars, allowing simultaneous surveillance and multi-target tracking without dedicating the beam to individual objects. In TWS systems, the radar's rotating antenna periodically illuminates all targets during each scan, with algorithms associating detections across scans to update multiple tracks in real time. Simulations of TWS designs demonstrate effective handling of up to 50 targets at scan rates around 10 revolutions per minute, leveraging data association and Kalman filtering to manage ambiguities from overlapping beams. Data fusion enhances tracking accuracy by integrating radar-derived plots with measurements from other sensors, such as electro-optic cameras or additional radars, to provide complementary information like precise positioning alongside velocity data. Fusion algorithms, often based on extended Kalman filters, combine these inputs to estimate comprehensive target states, reducing errors from sensor-specific limitations. For instance, fusing Doppler radar velocities with camera-derived positions improves overall tracking performance in simulations, enabling robust operation in diverse environments.

Engineering

Antenna Designs

Antenna designs in radar systems are critical for directing and focusing electromagnetic waves to achieve desired range, resolution, and coverage. These designs vary based on operational requirements, such as high gain for long-range detection or rapid beam steering for tracking multiple targets. Common types include reflector-based antennas, waveguide arrays, and phased arrays, each offering trade-offs in performance, complexity, and cost. Recent advancements as of 2025 include AI-integrated beamforming in phased arrays and hybrid beamforming with dynamic steering for millimeter-wave (mmWave) applications, enhancing adaptability in autonomous vehicles and 5G/6G systems. Parabolic reflectors are widely used in radar due to their simplicity and high gain, where the reflector surface shapes the wavefront into a narrow beam. The antenna gain GG for a parabolic reflector is given by G=4πAλ2G = \frac{4\pi A}{\lambda^2}, with AA as the effective aperture area and λ\lambda as the wavelength, enabling efficient energy concentration for applications like weather monitoring and air traffic control. Feed mechanisms, such as horn or dipole antennas placed at the focal point, illuminate the reflector to minimize spillover and optimize efficiency. Scanning methods in radar antennas determine how the beam is directed across the surveillance volume. Mechanical scanning involves physical rotation or tilting of the antenna structure, often using motors to achieve 360-degree azimuthal coverage in search radars, though it is limited by inertia and mechanical wear. Electronic scanning, in contrast, steers the beam without moving parts by adjusting signal phases, allowing faster repositioning and adaptive patterns for improved target acquisition. Slotted waveguide arrays consist of radiating slots cut into a waveguide structure, producing a broad fan-shaped beam suitable for sector surveillance. Linear slots along the waveguide length generate the fan beam by coupling energy from the guided mode to free space, with slot spacing and offset controlling the radiation pattern for low sidelobes. Phased array antennas enable precise beam steering through phase shifters that introduce controlled delays across array elements, forming the beam directionally without mechanical motion. In active electronically scanned arrays (AESA), each element is paired with a transmit/receive (T/R) module, allowing independent amplification and phase control for higher power output and graceful degradation if individual modules fail. The beamwidth θ\theta of such antennas approximates θλ/D\theta \approx \lambda / D, where DD is the array diameter, providing angular resolution inversely proportional to physical size. These designs often incorporate polarization handling to match transmitted and received waves, enhancing signal discrimination.

Frequency Bands and Waveforms

Radar systems operate across a wide spectrum of frequencies, standardized by organizations such as the IEEE to facilitate consistent designation and application. The IEEE Standard Letter Designations for Radar-Frequency Bands (IEEE Std 521-2002) defines bands from HF (3-30 MHz) to mm or submillimeter (110-300 GHz), with allocations spaced approximately at octaves to cover the range from 3 MHz to 300 GHz. These designations originated during World War II for microwave radars but have evolved for broader use in surveillance, navigation, and sensing. Key IEEE bands include the L-band (1-2 GHz), suited for long-range air surveillance radars capable of detecting targets up to 250 nautical miles due to lower atmospheric attenuation and favorable propagation over the horizon. The S-band (2-4 GHz) is commonly employed in weather radars and air traffic control systems, balancing range with moderate resolution while minimizing rain attenuation compared to higher frequencies. For precision applications, the X-band (8-12 GHz) provides high angular and range resolution, making it ideal for military fire control, synthetic aperture imaging, and marine navigation radars. Millimeter-wave bands, such as Ka (27-40 GHz), V (40-75 GHz), and W (75-110 GHz), enable short-range, high-resolution sensing in automotive radars (e.g., 77 GHz or 79 GHz for adaptive cruise control), though they suffer from significant atmospheric absorption. Internationally, the NATO Joint Civil/Military Frequency Agreement (NJFA) employs a different lettering scheme, dividing the spectrum logarithmically from A-band (0-0.25 GHz) to M-band (60-100 GHz) for electronic warfare and military compatibility. For instance, NATO's D-band (1-2 GHz) aligns closely with IEEE L-band for long-range surveillance, while I-band (8-10 GHz) corresponds to X-band for precision targeting; this system extends adaptively to higher frequencies like terahertz for emerging applications. These notations ensure interoperability in multinational operations but differ from IEEE in granularity and emphasis on military needs. Waveform selection in radar systems trades off detection range, resolution, and processing complexity, with narrowband waveforms (bandwidth much smaller than carrier frequency, e.g., <1% fractional bandwidth) prioritizing robust target detection over long distances through higher signal-to-noise ratios and simpler coherent integration. In contrast, wideband or ultra-wideband (UWB) waveforms (fractional bandwidth >20-25%) achieve fine range resolution (on the order of centimeters) for imaging and discrimination, as the resolution ΔR=c2B\Delta R = \frac{c}{2B} improves inversely with bandwidth BB, enabling applications like through-wall sensing or synthetic aperture radar (SAR). Narrowband signals, such as continuous-wave (CW) or simple pulses, suit surveillance where ambiguity in range is tolerable, while wideband options like linear frequency-modulated (LFM) chirps or stepped-frequency signals enhance clutter rejection but demand greater computational resources for pulse compression. Recent developments as of 2025 emphasize frequency-modulated continuous wave (FMCW) waveforms in X-band for high-accuracy real-time tracking in automotive radars and dual-use waveforms for joint radar-communications (JRC) to enable spectrum sharing with 5G/6G networks. Frequency and waveform choices involve inherent trade-offs: higher frequencies yield superior resolution (θλD\theta \approx \frac{\lambda}{D}, where λ\lambda decreases with frequency for fixed antenna diameter DD) but incur greater attenuation from atmospheric gases, rain, and foliage, limiting effective range to tens of kilometers in mm-wave bands. Lower frequencies (e.g., L/S-bands) propagate farther with less loss, supporting over-the-horizon detection, but at the cost of coarser resolution and larger required apertures. Propagation losses, such as oxygen absorption peaking at 60 GHz, further constrain mm-wave use to line-of-sight scenarios. Optimal selection depends on mission requirements, with hybrid approaches sometimes combining bands for multi-mode operation.
IEEE BandFrequency Range (GHz)Typical ApplicationsKey Trade-off
L1-2Long-range surveillanceGood propagation, moderate resolution
S2-4Weather, air trafficBalanced range/resolution, rain penetration
X8-12Precision targeting, imagingHigh resolution, higher attenuation
Ka/V/W27-110Automotive, short-range sensingExcellent resolution, severe atmospheric loss

Transmitter and Receiver Components

The radar transmitter generates the high-power electromagnetic pulses necessary for illuminating targets. Traditional pulsed radar systems often employ magnetron oscillators, which are vacuum tubes capable of producing high peak power outputs in the megawatt range for short durations, making them suitable for applications requiring strong signal penetration, such as weather or surveillance radars. In contrast, modern solid-state transmitters utilize amplifiers based on gallium nitride (GaN) or gallium arsenide (GaAs) transistors, offering lower noise performance and greater reliability compared to vacuum tubes, with efficiencies up to 50% and peak powers in the kilowatt range for phased-array systems. Modulators control the timing and shape of the transmitted pulses by switching high-voltage supplies to the transmitter. Pulse-forming networks (PFNs), consisting of capacitors and inductors arranged in a transmission line configuration, generate flat-top pulses with precise duration and amplitude, typically in the microsecond range, to ensure consistent radar range resolution. High-voltage switches, such as thyratrons, ignitrons, or solid-state devices like insulated-gate bipolar transistors (IGBTs), enable rapid on-off transitions with rise times under 100 nanoseconds, minimizing pulse distortion and supporting high pulse repetition frequencies. The receiver amplifies and down-converts the weak echo signals returned from targets, which are often attenuated by propagation losses. Superheterodyne receivers, the standard architecture for most radar systems, use a local oscillator to mix the incoming radio-frequency signal to an intermediate frequency (IF) for easier filtering and amplification, providing image rejection and selectivity across wide bandwidths. At the front end, low-noise amplifiers (LNAs) based on high-electron-mobility transistors (HEMTs) boost the signal with minimal added thermal noise, achieving noise temperatures as low as 50 K to preserve the signal-to-noise ratio (SNR) for distant or small targets. Mixers, typically diode-based or using field-effect transistors, perform the frequency conversion while introducing some conversion loss, often compensated by subsequent IF amplification stages. In monostatic radar configurations, where a single antenna serves both transmission and reception, a duplexer isolates the high-power transmit signal from the sensitive receiver. Ferrite circulators, functioning as three-port non-reciprocal devices, direct the outgoing pulse to the antenna while routing the returning echo to the receiver port, achieving isolation levels of 20-30 dB to prevent receiver overload. Receiver sensitivity, a key determinant of detection range, is quantified by the noise figure (NF), which measures the degradation of the SNR due to internal noise sources. The noise figure is defined as NF=10log10(F)NF = 10 \log_{10}(F) where FF is the noise factor, the ratio of total output noise to the noise from the input termination alone at standard temperature (290 K). Typical radar receivers achieve NF values of 3-6 dB, with low-noise designs approaching 2 dB through careful LNA selection and shielding. High-power transmitters often necessitate active cooling to maintain component stability, though detailed thermal management is addressed separately.

Cooling and Power Systems

Radar systems generate significant heat primarily from inefficiencies in the transmitter, where power amplifiers convert electrical input to RF output with losses that dissipate energy as thermal output. In high-power amplifiers, such as those using gallium nitride (GaN) devices, these inefficiencies arise from resistive losses in the active devices and matching networks, leading to junction temperatures that can exceed 200°C without proper management. Cooling methods in radar systems are tailored to handle these heat loads while maintaining component reliability and performance. Air cooling, often via forced convection with fans or heat sinks, is commonly employed in solid-state radars for moderate power levels up to several kilowatts, providing cost-effective thermal dissipation in compact designs. Liquid cooling, using dielectric fluids or water-glycol mixtures circulated through cold plates, is preferred for high-power transmitters exceeding 10 kW, enabling higher duty cycles by efficiently transferring heat away from amplifiers and supporting peak powers in the megawatt range. Cryogenic cooling, typically with liquid nitrogen or helium at temperatures below 77 K, is utilized in advanced systems incorporating high-temperature superconductors for low-noise receivers, dramatically reducing thermal noise and enabling ultra-sensitive detection in phased array radars for space surveillance; recent advancements as of 2025 include DARPA's superior cooling systems for microelectronic chip stacks in radar/electronic warfare (EW) applications and enhanced cryogenic setups for quantum radars. Power requirements in radar systems distinguish between peak power, which determines instantaneous signal strength for long-range detection, and average power, which governs overall energy consumption and thermal management. Peak power can reach hundreds of kilowatts in pulsed radars to achieve sufficient energy on target, but average power is limited by the duty cycle—the ratio of pulse duration to pulse repetition interval—often 0.1% to 10%, resulting in average powers of tens to hundreds of watts. The duty cycle directly impacts cooling needs, as higher values increase sustained heat generation, necessitating robust power supplies capable of rapid recharging during off periods to maintain performance without excessive size or weight. In portable radar systems, such as those on unmanned aerial vehicles (UAVs), power is typically supplied by lightweight batteries like lithium-ion or lithium-polymer packs, providing 100-500 Wh capacities for missions lasting hours, with solar panels augmenting recharge during daylight to extend endurance up to 24 hours in hybrid configurations. These systems prioritize low average power draw, often under 100 W, to balance radar operation with propulsion demands, using efficient DC-DC converters to distribute power from the UAV's central battery or solar array. Efficiency metrics for radar amplifiers focus on power-added efficiency (PAE), defined as the ratio of RF output power increase to DC input power, which quantifies how effectively electrical power is converted to useful signal while minimizing waste heat. GaN-based amplifiers, widely adopted in modern radars for their high breakdown voltage and thermal conductivity, achieve PAE values of 45-72% across X- and S-bands, enabling compact designs with reduced cooling requirements compared to legacy gallium arsenide devices.

Configurations

Monostatic and Bistatic Systems

In radar systems, monostatic configurations feature co-located transmitter and receiver antennas, typically sharing a common aperture or closely positioned elements to simplify hardware integration and signal processing. This geometry allows for straightforward range measurement via the round-trip time-of-flight of the echo, but it introduces potential ambiguities in angle estimation, particularly when targets exhibit non-specular scattering or when beamwidth limits resolution in multi-target scenarios. Monostatic radars are widely employed in applications requiring compact, self-contained operation, such as air search systems that scan large volumes for airborne threats or traffic. For instance, air traffic control radars like those used in civil aviation typically operate in monostatic mode to provide 360-degree surveillance with a single site. Bistatic radar systems, in contrast, employ spatially separated transmitter and receiver sites, often separated by distances comparable to the target range, which alters the fundamental geometry of signal propagation. The total path length from transmitter to target to receiver defines a bistatic range, forming elliptical loci with the transmitter and receiver as foci, rather than the circular constant-range contours of monostatic systems. This separation enhances operational stealth, as the receiver operates silently without its own transmission, reducing detectability by adversaries seeking to locate radar emitters. A key advantage lies in forward scatter geometries, where the target crosses the baseline between sites at near-zero bistatic angles; here, radar cross-section (RCS) can increase dramatically—up to orders of magnitude—for stealthy targets designed to minimize backscatter in monostatic configurations, enabling detection of low-observable aircraft. Despite these benefits, bistatic systems face significant challenges, including the need for precise synchronization between the separated sites to align transmit pulses with receive windows and compensate for clock drifts, often requiring GPS-disciplined oscillators or phase-locked loops. Path loss also escalates due to the longer total propagation distance compared to monostatic setups, potentially degrading signal-to-noise ratio, necessitating higher transmit power or advanced signal processing. Practical implementations include bistatic passive radars that exploit illuminators of opportunity, such as television broadcast signals, where the transmitter is a commercial TV station and the receiver processes reflections for covert surveillance without dedicated emissions.

Multi-Static and Networked Radars

Multi-static radar systems extend the bistatic configuration by employing multiple spatially separated transmitters (Tx) and receivers (Rx), forming a network of Tx-Rx pairs that collectively illuminate and observe targets from diverse geometries. This arrangement allows for enhanced target detection and parameter estimation compared to single or dual-node setups, as signals from various bistatic baselines provide complementary information. A key advantage of multi-static systems is their capability for three-dimensional (3D) target positioning through triangulation, where intersections of bistatic range ellipsoids or time-difference-of-arrival (TDOA) hyperboloids from multiple Tx-Rx pairs yield precise 3D coordinates. For instance, combining bistatic range (BR), TDOA, and angle-of-arrival (AOA) measurements across nodes improves localization accuracy, particularly in cluttered environments. Networked radars build on multi-static principles by integrating data from geographically dispersed radar nodes via communication links such as fiber optics or satellite relays, enabling real-time fusion for coordinated operation. In these systems, raw measurements or processed tracks are shared among nodes to form a unified situational picture, supporting applications requiring broad spatial coverage. The primary benefits of multi-static and networked radars include operational redundancy, where the failure of one node does not compromise overall performance; expanded wide-area surveillance through distributed apertures that cover larger regions without a single high-power transmitter; and anti-jamming diversity, as threats targeting one Tx-Rx pair are mitigated by signals from others. For example, hybrid multi-static networks demonstrate reduced range and velocity estimation errors under jamming compared to monostatic systems, leveraging geometric separation for resilience. Architectures for these systems vary between centralized processing, where all data is transmitted to a fusion center for global estimation using algorithms like the extended Kalman filter, and distributed processing, in which local nodes perform initial tracking and exchange summary statistics (e.g., via covariance intersection) to avoid bandwidth-intensive raw data transfers. Centralized approaches offer optimal accuracy but demand robust, high-bandwidth links, while distributed methods enhance scalability and fault tolerance in dynamic scenarios. Modern implementations include NATO's Integrated Air and Missile Defence (IAMD) system, which fuses data from a multinational network of radars and sensors to provide layered defense against aerial threats across allied territories.

Active and Passive Variants

Active radars utilize an integrated transmitter to generate and emit electromagnetic waves, which illuminate targets and produce echoes detected by the receiver. This self-contained power source enables high transmitted energy levels, supporting extended detection ranges and precise measurements of range, velocity, and angle. However, the strong emissions render active systems vulnerable to detection and localization by adversarial electronic warfare capabilities. In contrast, passive radars operate without a dedicated transmitter, relying instead on external illuminators of opportunity such as FM radio broadcasts (typically 88–108 MHz), digital television signals, or GSM cellular networks to provide the incident waves for target reflection. This emission-free approach ensures covert operation, as the system produces no distinguishable radar signature, enhancing survivability in contested environments. Passive systems encounter significant challenges due to the inherently low power density of opportunistic signals, which often results in weaker echoes and limited detection ranges compared to active counterparts. Waveform incompatibility further complicates signal processing, as these external sources are designed for communication rather than sensing, lacking controlled modulation for optimal ambiguity resolution. Multipath effects, where signals arrive via multiple propagation paths, exacerbate interference and degrade target discrimination. Hybrid active-passive configurations mitigate these limitations by employing active modes for initial cueing and high-precision acquisition, followed by passive tracking to reduce overall emissions and maintain stealth. For example, passive radars support electronic support measures (ESM) for passive threat detection and geolocation, while active systems provide the directed power needed for precision fire control in applications like missile guidance.

Limitations and Countermeasures

Propagation and Environmental Limits

Radar signals propagate through the atmosphere following curved paths influenced by Earth's curvature, which limits the line-of-sight range to approximately the geometric horizon calculated as d3.57hd \approx 3.57 \sqrt{h}
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