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TERCOM
TERCOM
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Terrain contour matching, or TERCOM, is a navigation system used primarily by cruise missiles. It uses a contour map of the terrain that is compared with measurements made during flight by an on-board radar altimeter. A TERCOM system considerably increases the accuracy of a missile compared with inertial navigation systems (INS). The increased accuracy allows a TERCOM-equipped missile to fly closer to obstacles and at generally lower altitudes, making it harder to detect by ground radar.[citation needed]

Description

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Optical contour matching

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The Goodyear Aircraft Corporation ATRAN (Automatic Terrain Recognition And Navigation) system for the MGM-13 Mace was the earliest known TERCOM system. In August 1952, Air Materiel Command initiated the mating of the Goodyear ATRAN with the MGM-1 Matador. This mating resulted in a production contract in June 1954. ATRAN was difficult to jam and was not range-limited by line-of sight, but its range was restricted by the availability of radar maps. In time, it became possible to construct radar maps from topographic maps.[citation needed]

Preparation of the maps required the route to be flown by an aircraft. A radar on the aircraft was set to a fixed angle and made horizontal scans of the land in front. The timing of the return signal indicated the range to the landform and produced an amplitude modulated (AM) signal. This was sent to a light source and recorded on 35 mm film, advancing the film and taking a picture at indicated times. The film could then be processed and copied for use in multiple missiles.[citation needed]

In the missile, a similar radar produced the same signal. A second system scanned the frames of film against a photocell and produced a similar AM signal. By comparing the points along the scan where the brightness changed rapidly, which could be picked out easily by simple electronics, the system could compare the left-right path of the missile compared with that of the pathfinding aircraft. Errors between the two signals drove corrections in the autopilot needed to bring the missile back onto its programmed flight path.[citation needed]

Altitude matching

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Modern TERCOM systems use a different concept, based on the altitude of the ground over which missile flies and measure by radar altimeter of the missile and comparing that to measurements of prerecorded terrain altitude maps stored in missile avionics memory. TERCOM "maps" consist of a series of squares of a selected size. Using a smaller number of larger squares saves memory, at the cost of decreasing accuracy. A series of such maps are produced, typically from data from radar mapping satellites.

As a radar altimeter measures the distance between the missile and the terrain, not the absolute altitude compared to sea level, the important measure in the data is the change in altitude from square to square. The missile's radar altimeter feeds measurements into a small buffer that periodically "gates" the measurements over a period of time and averages them out to produce a single measurement. The series of such numbers held in the buffer produce a strip of measurements similar to those held in the maps. The series of changes in the buffer is then compared with the values in the map, looking for areas where the changes in altitude are identical. This produces a location and direction. The guidance system can then use this information to correct the flight path of the missile.[citation needed]

During the cruise portion of the flight to the target, the accuracy of the system has to be enough only to avoid terrain features. This allows the maps to be a relatively low resolution in these areas. Only the portion of the map for the terminal approach has to be higher resolution, and would normally be encoded at the highest resolutions available to the satellite mapping system.[citation needed]

TAINS

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Due to the limited amount of memory available in mass storage devices of the 1960s and 70s, and their slow access times, the amount of terrain data that could be stored in a missile-sized package was far too small to encompass the entire flight. Instead, small patches of terrain information were stored and periodically used to update a conventional inertial platform. These systems, combining TERCOM and inertial navigation, are sometimes known as TAINS, for TERCOM-Aided Inertial Navigation System.[citation needed]

Advantages

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TERCOM systems have the advantage of offering accuracy that is not based on the length of the flight; an inertial system slowly drifts after a "fix", and its accuracy is lower for longer distances. TERCOM systems receive constant fixes during the flight, and thus do not have any drift. Their absolute accuracy, however, is based on the accuracy of the radar mapping information, which is typically in the range of meters, and the ability of the processor to compare the altimeter data to the map quickly enough as the resolution increases. This generally limits first generation TERCOM systems to targets on the order of hundreds of meters, limiting them to the use of nuclear warheads. Use of conventional warheads requires further accuracy, which in turn demands additional terminal guidance systems.[citation needed]

Disadvantages

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The limited data storage and computing systems of the time meant that the entire route had to be pre-planned, including its launch point. If the missile was launched from an unexpected location or flew too far off-course, it would never fly over the features included in the maps, and would become lost. The INS system can help, allowing it to fly to the general area of the first patch, but gross errors simply cannot be corrected. This made early TERCOM-based systems much less flexible than more modern systems like GPS, which can be set to attack any location from any location, and do not require pre-recorded information which means they can be given their targets immediately before launch.[citation needed]

Improvements in computing and memory, combined with the availability of global digital elevation maps, have reduced this problem, as TERCOM data is no longer limited to small patches, and the availability of side-looking radar allows much larger areas of landscape contour data to be acquired for comparison with the stored contour data.[citation needed]

Comparison with other guidance systems

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DSMAC, Digital Scene Matching Area Correlator

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DSMAC was an early form of AI which could guide missiles in real time by using camera inputs to determine location. DSMAC was used in Tomahawk Block II onward, and proved itself successfully during the first Gulf War. The system worked by comparing camera inputs during flight to maps computed from spy satellite images. The DSMAC AI system computed contrast maps of images, which it then combined in a buffer and then averaged. It then compared the averages to stored maps computed beforehand by a large mainframe computer, which converted spy satellite pictures to simulate what routes and targets would look like from low level. Since the data was not identical and would change by season and from other unexpected changes and visual effects, the DSMAC system within the missiles had to be able to compare and determine if maps were the same, regardless of changes. It could successfully filter out differences in maps and use the remaining map data to determine its location. Due to its ability to visually identify targets instead of simply attacking estimated coordinates, its accuracy exceeded GPS guided weapons during the first Gulf War.[1]

The massive improvements in memory and processing power from the 1950s, when these scene comparison systems were first invented, to the 1980s, when TERCOM was widely deployed, changed the nature of the problem considerably. Modern systems can store numerous images of a target as seen from different directions, and often the imagery can be calculated using image synthesis techniques. Likewise, the complexity of the live imaging systems has been greatly reduced through the introduction of solid-state technologies like CCDs. The combination of these technologies produced the digitized scene-mapping area correlator (DSMAC). DSMAC systems are often combined with TERCOM as a terminal guidance system, allowing point attack with conventional warheads.[citation needed]

MGM-31 Pershing II, SS-12 Scaleboard Temp-SM and OTR-23 Oka used an active radar homing version of DSMAC (digitized correlator unit DCU), which compared radar topographic maps taken by satellites or aircraft with information received from the onboard active radar regarding target topography, for terminal guidance.[citation needed]

Satellite navigation

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Yet another way to navigate a cruise missile is by using a satellite positioning system as they are precise and cheap. Unfortunately, they rely on satellites. If the satellites are interfered with (e.g. destroyed) or if the satellite signal is interfered with (e.g. jammed), the satellite navigation system becomes inoperable. Therefore, the GPS/GLONASS/BeiDou/Galileo-based navigation is useful in a conflict with a technologically unsophisticated adversary. On the other hand, to be ready for a conflict with a technologically advanced adversary, one needs missiles equipped with TAINS and DSMAC.[citation needed]

Missiles that employ TERCOM navigation

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The cruise missiles that employ a TERCOM system include:

See also

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References

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Revisions and contributorsEdit on WikipediaRead on Wikipedia
from Grokipedia
Terrain Contour Matching (TERCOM) is a and primarily employed in cruise missiles, which operates by comparing real-time altitude measurements obtained from an onboard with pre-recorded digital contour maps of the underlying terrain to determine the vehicle's precise position and correct its flight path. This terrain-aided technique supplements inertial navigation systems (INS) by providing periodic updates at designated checkpoints, enabling low-altitude flight for evasion of detection while achieving high accuracy independent of distance traveled. Developed in the to address the limitations of pure inertial guidance, such as cumulative drift errors, TERCOM uses correlation algorithms to match terrain profiles, typically over flat or varied landscapes, resulting in (CEP) values as low as tens of meters when integrated with other systems. TERCOM originated from U.S. efforts to enhance accuracy during the , with a key patent awarded in 1958, and became integral to systems like the Tomahawk (BGM-109) and AGM-86B Air-Launched Cruise Missile (ALCM) by the late 1970s. Its integration with INS, often termed TERCOM-Aided Inertial Navigation System (TAINS), supports all-weather, jam-resistant performance in operational missiles, though it is limited by the need for detailed terrain data and performs poorly over featureless areas like water or deserts. Modern advancements continue to refine TERCOM for applications beyond missiles, such as unmanned aerial vehicles (UAVs) in GPS-denied environments, incorporating techniques like error state Kalman filters (ESKF) and fuzzy logic-enhanced correlation to improve real-time processing and accuracy with low-cost digital elevation maps. These evolutions maintain TERCOM's core principle of terrain correlation while addressing computational demands, ensuring its relevance in contemporary navigation challenges.

History and Development

Origins in Cold War Era

The development of Terrain Contour Matching (TERCOM) originated in the 1950s as a response to U.S. military requirements for precise, low-altitude navigation systems capable of operating in all weather conditions, amid escalating confrontations with the that demanded stealthy penetration of enemy air defenses. This built upon earlier efforts like the Goodyear ATRAN (Automatic Terrain Recognition and Navigation) system developed from 1948 for the Martin Matador missile. The technology addressed limitations in existing inertial and guidance methods, which struggled with accuracy over long distances at low altitudes where terrain masking could evade detection. Chance Vought Aircraft first proposed the core terrain correlation technique in 1958, envisioning its use for a nuclear-powered supersonic low-altitude missile known as SLAM (Supersonic Low-Altitude Missile). This foundational concept involved comparing real-time altitude measurements against pre-mapped terrain profiles to update position estimates, and it was patented that same year as the initial framework for terrain-referencing navigation. Early research efforts expanded through contracts awarded to companies including Chance Vought, with subsequent involvement from Goodyear Aerospace and McDonnell Douglas in refining the approach for practical implementation. Conceptual demonstrations emerged in the early , leveraging analog computers to process and correlate data with stored terrain contour maps, marking the shift from theoretical to testable prototypes. These initial tests, beginning as early as on aircraft like models and T-29s, validated the system's potential for mid-course corrections despite challenges like signal noise and computational constraints. A key milestone occurred in August 1958 when the U.S. selected Chance Vought, , and for funded studies on low-altitude missile systems, directly supporting TERCOM's integration into stealthy bomber and missile platforms. This initiative laid the groundwork for TERCOM's evolution, which later transitioned to digital processing in subsequent decades for enhanced reliability.

Key Milestones and Technological Advancements

In the , TERCOM transitioned to digital enabled by advancements in minicomputers and microprocessors, allowing for real-time terrain correlation during flight. This shift made practical implementation feasible for applications, building on earlier analog concepts from the and 1960s. A pivotal demonstration occurred with the first powered of the AGM-86A prototype on March 5, 1976, which integrated TERCOM for updates alongside inertial systems, validating its operational viability over extended ranges. During the , TERCOM saw enhancements in accuracy through techniques like multi-segment map matching, which divided flight paths into sequential segments to improve position fixes in varied . These improvements culminated in the operational deployment of TERCOM in the family, with its anti-ship variant (RGM/UGM-109B) achieving initial operational capability (IOC) in September 1983 for submarine-launched versions. By this period, extensive testing had logged over 2,300 flight hours and more than 4,800 successful fixes, demonstrating reliability in all-weather conditions. The 1990s brought refinements in map storage and data efficiency, with the adoption of compressed formats to handle larger reference maps without exceeding onboard computational limits. Post-Gulf War (1991) evaluations highlighted vulnerabilities in standalone TERCOM over flat or featureless terrain, prompting hybrid integration with GPS for enhanced mid-course corrections; this was implemented in Block III upgrades starting in the mid-1990s, tightening overall navigation accuracy. Specific algorithmic advancements, such as Kalman filtering for error state estimation in TERCOM-aided inertial systems, further reduced (CEP) from approximately 100 meters in early configurations to under 10 meters in refined variants by the late and 1990s.

Principles of Operation

Terrain Contour Matching Fundamentals

Terrain Contour Matching (TERCOM) serves as a dead-reckoning navigation aid that supplements inertial systems by comparing real-time measurements of terrain altitude profiles with pre-stored digital elevation maps to refine position estimates. This method relies on the uniqueness of terrain features to resolve ambiguities in vehicle position during flight. The operational process begins with the vehicle flying over varied, rugged terrain at low altitudes, typically between 100 and 500 feet above ground level, to ensure sufficient resolution in altitude measurements. Next, an onboard radar altimeter captures sequential altitude readings relative to the ground, while a barometric altimeter provides height above mean sea level; the difference generates a one-dimensional profile of terrain elevation versus distance traveled along the flight path. Finally, the measured profile is correlated against segments of the pre-loaded map using scoring techniques such as least-squares minimization or normalized cross-correlation to identify the shift that yields the best match, thereby updating the estimated position. A common approach for correlation scoring employs the normalized cross-correlation coefficient, which quantifies similarity between the measured profile hih_i and map segments mi+km_{i+k} for various shifts kk: C(k)=(hihˉ)(mi+kmˉ)(hihˉ)2(mi+kmˉ)2C(k) = \frac{\sum (h_i - \bar{h})(m_{i+k} - \bar{m})}{\sqrt{\sum (h_i - \bar{h})^2 \sum (m_{i+k} - \bar{m})^2}}
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