Cooperative Localization of Satellite Cluster via Factor Graphs Theory

Xiwei Wu, Cihang Wu, Bing Xiao

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

In this paper, a new factor graph-based approach is presented to achieve the cooperative localization of the satellite cluster by using both multiple sensors. The proposed method is introduced that allows multi-rate, asynchronous, and possibly delayed measurements to be incorporated naturally. Based on the incremental smoother, the developed scheme can automatically determine the number of states to recompute at each step, effectively acting as an adaptive fixed-lag smoother. Applying this method, the localization accuracy can be significantly improved. Moreover, it does not have a dependence on infrastructure and saves positioning costs. Besides, the factor graph algorithm is essentially the process of factor factorization, which achieves dimensionality reduction, significantly reduces computational complexity, and enables fast location.

源语言英语
主期刊名Advances in Guidance, Navigation and Control - Proceedings of 2020 International Conference on Guidance, Navigation and Control, ICGNC 2020
编辑Liang Yan, Haibin Duan, Xiang Yu
出版商Springer Science and Business Media Deutschland GmbH
4843-4854
页数12
ISBN(印刷版)9789811581540
DOI
出版状态已出版 - 2022
活动International Conference on Guidance, Navigation and Control, ICGNC 2020 - Tianjin, 中国
期限: 23 10月 202025 10月 2020

出版系列

姓名Lecture Notes in Electrical Engineering
644 LNEE
ISSN(印刷版)1876-1100
ISSN(电子版)1876-1119

会议

会议International Conference on Guidance, Navigation and Control, ICGNC 2020
国家/地区中国
Tianjin
时期23/10/2025/10/20

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