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针对在反舰导弹目标跟踪中,IMM-CKF在噪声统计特性未知时存在滤波精度低、模型切换速度慢等问题,提出一种基于简化Sage-Husa算法的IMM-ASSRCKF算法。该算法采用基于球面最简相径(SSR)容积规则的SSRCKF算法,可获得高于传统CKF的滤波精度,同时在SSRCKF算法的基础上引入一种基于Sage-Husa算法的适用于非线性系统的噪声估计器,并进一步结合IMM算法构成了IMM-ASSRCKF目标跟踪算法。将所提出的IMM-ASSRCKF算法应用于本文所建立的反舰导弹弹道进行跟踪,仿真结果表明,相较于传统的IMM-CKF算法,改进的跟踪算法有更快的估计误差收敛速度和更强的鲁棒性。
In the target tracking of anti-ship missiles, IMM-CKF has some problems such as low filtering accuracy and slow model switching speed when the statistical properties of noise are unknown. An IMM-ASSRCKF algorithm based on simplified Sage-Husa algorithm is proposed. The algorithm uses the SSRCKF algorithm based on the volume of the sphere’s simplest phase diameter (SSR) volume rules to obtain higher filtering accuracy than the traditional CKF. At the same time, based on the SSRCKF algorithm, a new algorithm based on Sage-Husa algorithm is introduced for nonlinear systems Noise estimator, and further combined with IMM algorithm constitutes IMM-ASSRCKF target tracking algorithm. The proposed IMM-ASSRCKF algorithm is applied to the anti-ship missile trajectory established in this paper. The simulation results show that the improved tracking algorithm has faster convergence speed and stronger estimation error than the traditional IMM-CKF algorithm Robustness.