Title :
Stochastic simulation Bayesian approach to multitarget tracking
Author_Institution :
ELTA Electron. Ind. Ltd., Ashdod, Israel
fDate :
4/1/1995 12:00:00 AM
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 :
Bayes methods; radar clutter; radar tracking; state estimation; state-space methods; stochastic processes; target tracking; Bayesian method; dense clutter; multitarget tracking; nearest-neighbours; posterior state estimate distribution; probabilistic data association; state space; stochastic simulation;
Journal_Title :
Radar, Sonar and Navigation, IEE Proceedings -
DOI :
10.1049/ip-rsn:19951757
