@inproceedings{e4e2856a51394abb8ef12815a0487cec,
title = "Missile Interception Guidance With Parameter Uncertainties Using Desensitized Extended Kalman Filter",
abstract = "The missile interception problem is considered in this article. As in practical applications, the real states are not available due to the existence of measurement noises and model parameter uncertainties, desensitized extended Kalman filter (DEKF) is applied to generate reliable state estimations. Compared to standard extend Kalman filter (EKF), this approach calculates state estimations by optimizing a cost function with one additional term, which reflects the state estimate error sensitivities. Such a design makes the filter less sensitive to model parameter uncertainties and can be considered as a generalization of the standard EKF. Simulation studies are conducted to evaluate the performance of DEKF when applying to integrated missile-target interception model.",
keywords = "Desensitized extended Kalman filter, Estimation sensitivity, Missile-target interception, State estimation, Uncertain parameter",
author = "Jingsong Yang and Wei Hu and Tianhao Liu and Lingguo Cui and Jia Liang",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 8th International Conference on Systems and Informatics, ICSAI 2022 ; Conference date: 10-12-2022 Through 12-12-2022",
year = "2022",
doi = "10.1109/ICSAI57119.2022.10005408",
language = "English",
series = "ICSAI 2022 - 8th International Conference on Systems and Informatics",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
editor = "Shaowen Yao and Zhenli He and Zheng Xiao and Wanqing Tu and Kenli Li and Lipo Wang",
booktitle = "ICSAI 2022 - 8th International Conference on Systems and Informatics",
address = "United States",
}