Aiming to improve the tracking performance of high maneuvering targets,an improved strong tracking CKF adaptive interactive multi model tracking algorithm is proposed.The CS-Jerk model is introduced in the model set of IMM to enhance its adaptability to high maneuvering targets,the singular value decomposition(SVD)algorithm is adopted to solve the problem of CKF algorithm being unable to Cholesky decompose due to model dimension expansion.An improved strong tracking CKF algorithm is proposed to reduce the computational complexity of strong tracking CKF algorithm,the model transition probability of IMM is adjusted adaptively by using the posterior information of the model to improve the tracking accuracy.The simulation results show that the mean RMSE of position and the mean RMSE of velocity based on the proposed algorithm are reduced by 22.50%and 16.58%respectively compared to the IMM-CKF algorithm,effectively improving the accuracy of target tracking.
high maneuvering targettarget trackingadaptive interacting multi-modelstrong tracking CKFsingular value decomposition
万方数据
维普
