Next-Generation Clusterer: Clustering and Association for Active Sonar Tracking and Classification

To support Navy’s need for novel algorithms using improved energy clustering and association techniques to represent the spatial and Doppler distribution of active-sonar returns to improve active-sonar tracking and classification performance for the AN/SQQ-89A(V)15, ARiA will develop and demonstrate the Next-Generation Clusterer (NGC), a suite of algorithms for feature-augmented contact localization, clutter rejection, and target identification. The Phase I effort will (1) develop and adapt the NGC deep-learning framework for feature-augmented detection and contact formation; (2) demonstrate the performance of NGC and establish that NGC can be developed into a useful product for the Navy through analytical modeling and development with simulated and recorded sea data; and (3) develop a Phase II plan for NGC including an initial design specification and capabilities description to guide development of a prototype that is compatible with the existing software architecture of the AN/SQQ-89A(V)15.