An Enhanced Particle Filter for Detection and Tracking Maneuvering Dim Target

Abstract

Track-before-detect (TBD) is a powerful technique for detection and tracking dim targets. To solve the problem of target maneuvering, the basic idea of multiple model (MM) algorithm is introduced into the basic multiple model particle filter TBD, a novel and enhanced particle filter algorithm is proposed in this paper. The algorithm proposed formulates the probability of existence calculation respectively, avoiding the need for hybrid estimation. This simulation results show that the algorithm proposed is efficient in dim maneuvering target tracking.