Abstract
Concerning the problem of Track-Before-Detect(TBD) in a multi-target environment,in this paper,a TBD algorithm based on Joint Multi-target Probability Density(JMPD) model was proposed.The JMPD was a single probabilistic entity that captured uncertainty about the number of targets present in the surveillance region as well as their individual states and a Particle Filter(PF) was used to recursively estimate the JMPD.The simulation results demonstrate that the birth and death of target can be estimated accurately as well as its trajectory by the proposed algorithm with smaller detection delays.
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