Maneuver Target Tracking Based on Kalman IMM Algorithm

In order to avoid tracking a maneuver detection algorithm. An interacting multiple model algorithm based on the Kalman was proposed to improve the accuracy of interacting multiple model(IMM). The target motion is divided into two parts, namely global motion and local motion, which are separately predicted according to their own dynamic behavior. Builds CA(Constant Accelerator) and CT(Constant Turn) target model of interaction to achieve the state of the target maneuver adaptive estimation. The simulation results show IMM algorithm for CV. CT maneuvering target tracking can achieve good results.