Advanced Sensor Data Fusion

In Phase I, TSC and the University of Connecticut developed an innovative track handover algorithm which combines estimated rotational motion states with measured radar or IR data to correlate tracks. Rotational motion states are derived from S-band or X-band radar measurements using TSC"s Static Pattern Reconstruction and 3D Radar Imaging algorithms. The Rotational Motion Handover algorithm demonstrated effective track handover between S-band and X-band radars, as well as handover between X-band radar and IR sensors. In Phase II, our team will further mature this algorithm and integrate it into a state-of-the-art m-best Multiple Hypothesis Tracker that was demonstrated by UCONN in Phase I. The resulting integrated algorithm can provide accurate track handover between various S-band and X-band radars, and IR sensors within the ballistic missile defense system. Performance of these algorithms will be tested using high-fidelity simulated and measured data in high clutter environments. The enhanced handover and tracking algorithm will provide the global battlespace awareness required for future multi-sensor discrimination, tracking, and interceptor guidance algorithms.