PF-UKF-RJMCMC approaches for radar target-tracking

Nonlinear problem of maneuvering target is a hot and difficult topic in radar target tracking fielding. This paper outline the the pros and cons of non-linear filtering methods nowdays, emphatically analyses uncertainty sampling and random sampling method, describe Markov chain Monte Carlo algorithms, along with Reversible Jump ratio improving methods. and try to present a comprehensive picture of the performance comparison among classical tracking methods combining RJMCMC, including PF, EKF-PF, UKF-PF techniques from the varied literature that have seen wide application in Radar target tracking field. Simulations on maneuvering target radar tracking are carried out to validate the performance of the proposed scheme in comparison with existing methods.