ABSTRACT

The correlation problem is one in which both measurements from multiple sensors and additional inputs from multiple nonsensor sources must be optimally allocated to estimation processes that produce (through data/information fusion techniques) fused parameter estimates associated with hypothetical targets and events of interest. In the most general sense, this problem is one of combinatorial optimization, and the solution strategies involve application and extension of existent methods of this type.