Ground Moving Target Indication (GMTI)

GMTI Radar Signal Processing

TSC has significant expertise in GMTI radar, including being a part of Northrop Grumman’s original Joint STARS proposal team.  TSC performed extensive modeling, analysis and performance prediction for the Joint STARS radar system during its development using in-house GMTI radar modeling simulation tools. TSC was responsible for selecting GMTI radar waveforms, designing / optimizing modes, and developing / testing all of the post-processing algorithms, including false alarm control, target classification and parameter estimation.  On the subsequent MP-RTIP program, TSC developed an analytical performance prediction tool and waveforms to support concurrent surveillance modes of operation including GMTI.

On several Army GMTI radar programs, TSC provided Subject Matter Expertise ranging from system design through engineering development and flight testing.  Over the years, TSC has been involved in the FORESTER, ARTEMIS, Aerial Common Sensor and Airborne Reconnaissance Low-Multifunction programs. For DARPA, TSC has also conducted numerous studies of GMTI radar performance for Expeditionary ISR applications and novel UAS-based radar system concepts. For AFRL and several prime contractors, TSC has performed research to optimize the GMTI radar performance and coverage rates for Space-Based Radar systems.

Measuring and predicting the effect of terrain is key to maximizing the performance of airborne GMTI radar systems. TSC built a ground station for the Army to evaluate the visibility of ground targets and assess their mobility based on ground slope and terrain characteristics derived from other sensor data. TSC has also developed and demonstrated several methods of generating Digital Elevation Models (DEMs) including a stereo generation technique that utilizes SAR imagery and GMTI clutter maps.  Extracting information from SAR imagery has also been investigated by TSC as a means of improving GMTI radar performance.

GMTI Radar Data Exploitation

Under contract to AFRL, the US Army and DARPA, TSC has developed and demonstrated numerous algorithms to exploit data from operational GMTI radar surveillance systems. These algorithms process target reports to recognize anomalous target behavior including unusual stop-and-go movement patterns and small groups of vehicles staying together in busy traffic.  Other applications include characterizing traffic patterns to detect potential military activity and sites such as convoys, road blocks and civilians fleeing an attack.  TSC has also developed algorithms to extract lines of communication including roads and foot trails with high accuracy by accumulating and analyzing target detection data. TSC has software to read NATO-EX, STANAG 4067 and other GMTI radar data formats. 

TSC has developed a post-processing technique to remove the azimuth angle bias that is present in some airborne GMTI radar systems. This technique has been demonstrated on both operational GMTI radar data and on video MTI data obtained by frame differencing of EO/IR sensor data.