Research of maneuvering target tracking based on particle filter

The essence of maneuvering target tracking is mainly including maneuvering target modeling, maneuvering target detection or maneuvering target identification and filtering algorithm. In this paper, the maneuvering target model was described by the cooperative turn model, and tracked by the particle filter algorithm. The resample technique is introduced to overcome the problem of particle degradation in standard particle filter. Finally, we finished simulation experiments by Matlab, and compared the particle filter algorithm with the extended kalman filter algorithm, the results show that particle filter with the resample technique has a better performance in tracking precision, computational complexity, real-time performance and stability, it is a more effective method for maneuvering target tracking.