An architecture for fusion of multisensor ocean surveillance data

This short paper describes the architecture of an advanced data fusion system designed to solve the multisensor, multitarget, ocean surveillance problem. Fusion is posed as a labeled set covering problem, set in the context of maximum a posteriori hypothesis selection using kinematics, commensurate and noncommensurate attributes, and a priori sensor and scenario statistics for hypothesis scoring.