Variable structure multiple model particle filter for maneuvering radar target tracking

Abstract

This paper presents two methods for maneuvering radar target tracking, one is called variable structure multiple model particle filter (VSMMPF), which combines the variable structure multiple model (VSMM) filter with a Sampling-Importance Resampling (SIR) particle filter (PF); The other one is called modified adaptive gird multiple model (AGMM), which is suitable when model parameter scope is unknown beforehand. PF is used to deal with problems with arbitrary nonlinearities and non-Gaussian noise. Thus the combination of VSMM and PF is able to deal with problems of nonlinearities, non-Gaussian and maneuvering. As one of the VSMM algorithms, Grid adaptation (GA) is unique one which can produce new model-set that are not predefined and model parameter can be any value within continuous model space. However, it only used to tracking maneuvering target in 2D coordinate turn system. Our modified AGMM could track generic planar maneuvering target. Simulation results indicate that performance of the algorithm VSMMPF outperforms interacting multiple model (IMM) PF and the AGMM PF which combines AGMM with PF runs well especially when model scope is unknown in advance.