再次，针对交互多模型算法中马尔可夫转移概率矩阵固定而导致的误差问题，本

Again, the transition probability for error problem IMM algorithm Markov matrix resulting from fixed, we propose a volume Kalman filter algorithm (AIMMA5CKF) Markov parameters of the adaptive interacting multiple model adaptive five bands, which It is a correction method based on a posteriori information.

Third, in view of the error problem caused by the fixation of the probability matrix of Markov transfer in the interactive multi-model algorithm, a five-order carman filtering algorithm (AIMMA5CKF) based on the adaptive adaptation of the Markov parameters is proposed, which is a method based on post-mortem information correction.

Thirdly, aiming at the error problem caused by the fixed Markov transition probability matrix in the interactive multi model algorithm, this paper proposes an interactive multi model adaptive fifth order volume Kalman filter algorithm (aimma5ckf) based on Markov parameter adaptive, which is a method based on the posteriori information correction.<br>