Stochastic simulation Bayesian approach to multitarget tracking

1 January 1995

journal article
Published by Institution of Engineering and Technology (IET) in IEE Proceedings - Radar, Sonar and Navigation

Vol. 142 (2) , 41-44
https://doi.org/10.1049/ip-rsn:19951757

Abstract

A stochastic simulation Bayesian method for multitarget tracking is developed. This method uses a random sample in state space to represent the posterior state estimate distribution. The method is illustrated by simulations involving one target in dense clutter. Comparison with nearest-neighbours and probabilistic data association shows the superiority of the proposed method.

Keywords

BAYESIAN METHOD
DENSE CLUTTER
POSTERIOR STATE ESTIMATE DISTRIBUTION
STATE SPACE
MULTITARGET TRACKING
STOCHASTIC SIMULATION
PROBABILISTIC DATA ASSOCIATION
NEAREST-NEIGHBOURS

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