<title>Target preference in multitarget sensor management: a unified approach</title>

Abstract

Sensor management algorithms must be capable of directing sensing resources preferentially to know or potential Targets of Interest (ToIs) having high tactical importance. In principle one could simply wait until accumulated information strongly suggests that particular targets are probable ToIs and then bias the allocation of sensor resources to those targets. However, such ad hoc techniques have inherent limitations. To avoid these limitations target preference must be incorporated into the fundamental statistical description of multisensor-multitarget problems. In this paper we show that finite-set statistics (FISST) has built-in mathematical tools for doing this, thereby allowing target preference to be incorporated into sensor management objective functions.