GMTI Exploitation Modeling: Deriving Behavior and Characteristics from Data Sets

TSC proposes to extend proven techniques that extract traffic parameters from GMTI radar measurements and tracks for input to mathematical models that characterize target behavior. TSC will adapt an existing MIT traffic model that has been developed to estimate the vehicle flow between specific origins and destinations from real-time sensors. Historical GMTI data will be incorporated using a fuzzy logic approach to supplement real-time, multi-sensor data to compensate for terrain shadowing and other sensor limitations. In Phase 1, TSC will employ our high fidelity GMTI radar simulation and military target / commuter traffic models to generate test data to demonstrate our concept. TSC will extract vehicle sources and sinks, estimate travel-time and determine route choices for a representative military scenario. TSC will also incorporate intelligence reports and other ancillary information to improve the models. In Phase II, TSC will fully implement and evaluate the traffic modeling approach, and apply it to collected data, as available. TSC will then process operational GMTI radar databases or other Air Force simulation scenarios to show its benefit to exploitation. In Phase III, TSC will customize and integrate our algorithms into an existing multi-sensor ground station for further testing and operational use.