PICASSO: Physics-Based Improvements for Continuous Active Sonar (CAS) Signal-and-Information Processing

To support Navys need for improved detection, tracking, and classification within the Continuous Active Sonar (CAS) functional segment (CASFS) of the AN/SQQ-89A(V)15, ARiA will develop and demonstrate signal- and information-processing algorithms that reduce range uncertainty, recover signal mismatch loss, and improve tracking performance. The Phase I effort will (1) develop algorithms for estimating and compensating for time-varying platform motion within a coherent processing interval, (2) develop features for classification and tracking derived from sparse model-based estimation, and (3) demonstrate that PICASSO algorithms can meet Navys need for improved tracking and classification performance on archived and simulated data representative of the AN/SQQ-89A(V)15 operating at full duty cycle with sub-CPI platform and target motion.