Linear multitarget finite resolution tracking in clutter

Abstract

A majority of target tracking algorithms are derived assuming the infinite resolution sensor(s), where each measurement has only one source. This assumption is an approximation as the sensors (e.g., radars and sonars) have finite resolution, where close measurements from multiple sources may merge into one. This disparity between assumptions and reality may significantly degrade target tracking performance. This paper proposes a multitarget tracking algorithm that assumes finite resolution sensor(s). A finite resolution variant of linear multitarget tracking is proposed to limit the computational complexity. The proposed algorithm provides both the trajectory estimate and the track quality measure enabling automatic track initiation and termination (false track discrimination) for a complete target tracking solution in nonhomogeneous clutter. A simulation study vindicates the approach in a difficult situation with 10 crossing targets in clutter that may merge measurements.