@inproceedings{81b098b83636476595716594821b6355,
title = "Interactive multi-model target maneuver tracking method based on the adaptive probability correction",
abstract = "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.",
keywords = "Augmentation, Interactive multi-model, Relative navigation, Target maneuver",
author = "Jiadong Ren and Xiaotong Zhang and Jiandang Sun and Qingshuang Zeng",
note = "Publisher Copyright: {\textcopyright} 2018, Springer International Publishing AG, part of Springer Nature.; 9th International Conference on Swarm Intelligence, ICSI 2018 ; Conference date: 17-06-2018 Through 22-06-2018",
year = "2018",
doi = "10.1007/978-3-319-93818-9\_22",
language = "英语",
isbn = "9783319938172",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "235--245",
editor = "Ying Tan and Qirong Tang and Yuhui Shi",
booktitle = "Advances in Swarm Intelligence - 9th International Conference, ICSI 2018, Proceedings",
address = "德国",
}