Dale Blair, George Brown, Danny Diaz; Georgia Tech Research Institute

Simulation of an electronically scanned radar (ESR) model will be discussed and performance results displayed. Extensive performance metrics will be displayed to illustrate the impact of challenging tracking conditions and the use of alternative data association algorithms. This is an event-driven simulation with three primary modes: search, track, and dual track test. The search mode allows for automatic acquisition of new targets or reacquisition of lost targets. In the track mode, a track dwell and the resulting detections are generated for the specified target and used for tracking that target. The final action for an active track is a call to the event manager to schedule the times for following track dwells. The dual track mode is included to help eliminate redundant or dual tracks. An IMM estimator with two nearly constant velocity Kalman filters is used in the tracker. The current model of the radar tracker includes multiple approaches for 2-D measurement-to-track assignment that include a priori nearest neighbor, independent nearest neighbor, greedy assignment, NNJPDA, JVC-JPDA, and JVC. The radar model includes waveform control and two methods for revisit time control: scheduled revisit times and adaptive revisit times. The results of applying the SIAP metrics to the individual sensor tracks will be given to illustrate the SIAP metrics and the performance of the sensor tracking.