Adaptive Variable Structure Multiple Model Algorithm base on High Maneuvering Target Tracking
The traditional interacting multiple model (IMM) algorithm has a fixed structure, in the region of high maneuvering target tracking, needs plenty of models to describe the target maneuver, brings the contradiction of tracking performance and calculating amount, meanwhile, unnecessary inter-competition among the models maybe reduce the performance. To resolve this problem caused by IMM, an adaptive variable structure multiple model (AVSMM) algorithm is presented. According to the current target maneuvering level, just several models which related to the target motion, at different moments, the algorithm can adjust the model’s parameters and get a new model set, then begin to filter estimate. Simulation results show that this algorithm can match actual target trajectory with less computational complexity and better accuracy.
Adaptive Variable-structure multiple model Interacting multiple model algorithm High Maneuvering target tracking
Zeng Dong Huang Xiao-peng Peng Dong-liang
Institution of Information and Control, Key National Defense Laboratory of Fundamental Science for I Institution of Information and Control, Key National Defense Laboratory of Fundamental Science for I
国内会议
厦门
英文
1-4
2012-08-01（万方平台首次上网日期，不代表论文的发表时间）