Robust adaptive multi-target tracking algorithm for airborne passive bistatic radar
In order to address the multi-target tracking problem of airborne passive bisstatic radar(APBR)in an unknown clutter environment,a robust adaptive labelled multi-Bernoulli(RA-LMB)filter is proposed.Firstly,a model for multi-target tracking problem is established on the basis of the LMB filter algorithm framework.Then,for the problems of unknown target newborn parameters,clutter parameters and target detection probability,the measurement-driven target newborn model and the online parameter estimation method based on the cardinality-balanced multi-target multi-Bernoulli estimator are proposed.Finally,considering the non-linearity of APBR measurements,the sequential Monte Carlo method is used to implement the proposed algorithm.The experimental results show that the proposed filter is able to estimate the multi-target trajectory using the APBR measurements,and the performance in the unknown clutter environment can be approximated to the generalized LMB filter with known clutter parameters,with better robustness.
万方数据
维普
