A nonlinear filtering algorithm for precise tracking of maneuvering target

Based on the "current" statistical model of maneuvering target,a new spiral maneuvering target model was built.Doppler velocity measurement was applied to modify the PTLKF algorithm that was used to compensate the linearization errors,and then the modified acceleration variance adaptive algorithm was integrated for maneuvering target tracking.Simulation results indicate that under the nonlinear observation conditions,the fusion of modified PTLKF and modified acceleration variance adaptive algorithm can effectively improve the tracking of the maneuvering target,and its computation cost is much less than that of the strong tracking filtering algorithm.