Improved Interactive Multiple Model Kalman Filter Design for Tracking Complex Moving Vehicles under Concealed Conditions

In order to adapt to the possible discontinuity and discontinuity in the transmitting signals of special vehicles in the complex combat environment, the Improved Interacting Multiple Model Kalman Filter (I-IMM-KF) method is proposed in this paper. In order to improve the performance of maneuvering target tracking algorithm, this paper adopts four interactive algorithms: constant velocity (CV) model, constant acceleration (CA) model, constant left turn (CT-left) model and constant right turn (CT-right) model, the window function is used to improve the probability density function. Finally, the improved algorithm and the single filter Kalman filter (KF) algorithm are simulated in the case of low noise and large noise and continuous signal characteristics. Simulation results show that the improved IMM algorithm has a higher tracking accuracy than the ordinary KF algorithm, and the advantage is highlighted in the complex environment.