Interactive Multi-model Target Maneuver Tracking Method Based on the Adaptive Probability Correction

被引:0
|
作者
Ren, Jiadong [1 ,2 ,3 ]
Zhang, Xiaotong [2 ,3 ]
Sun, Jiandang [2 ,3 ]
Zeng, Qingshuang [1 ]
机构
[1] Harbin Inst Technol, Sch Astronaut, Harbin 150001, Peoples R China
[2] Shanghai Inst Spaceflight Control Technol, Shanghai 201109, Peoples R China
[3] Shanghai Key Lab Space Intelligent Control Techno, Shanghai 201109, Peoples R China
来源
ADVANCES IN SWARM INTELLIGENCE, ICSI 2018, PT II | 2018年 / 10942卷
关键词
Augmentation; Relative navigation; Target maneuver; Interactive multi-model;
D O I
10.1007/978-3-319-93818-9_22
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Non-cooperative target tracking is a key technology for complex space missions such as on-orbit service. To improve the tracking performance during the unknown maneuvering phase of the target, two methods including the IMM (interactive multi-model) algorithm based on extended CW equation and the variable IMM algorithm based on CW and extended CW equation are presented. The analysis and simulation results show that the higher the maneuvering index of the target is, the more obvious the advantages of the classical augmented IMM method are. However, the variable dimension IMM method has consistent performance for all the maneuver index interval of the target, and it is relatively suitable for engineering applications due to the lower complexity of algorithm.
引用
收藏
页码:235 / 245
页数:11
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