Distributed navigation information fusion method based on information geometry

Yuyang Wang, Yi Zhang, Chengkai Tang, Peihan Yu

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Due to the different inherent defects of various single navigation systems, the application of information fusion methods to synthesize information from multiple navigation sources has become a hot issue in the field of navigation and positioning. In this paper, a multi-navigation source fusion method based on information geometry (Kullback-Leibler Divergence Minimization, KLM) is proposed, which maps the information accuracy probability function of each navigation source to the Riemann space, and establishes the navigation source information probability set manifold. The optimal fusion of the information geometric manifold of the navigation source under the Riemann information geometry architecture. This method uses the K-L divergence to replace the geodesic distance, which greatly reduces the amount of calculation and effectively improves the overall positioning accuracy. The simulation results show that after the information of each navigation source is fused by the KLM method, the positioning error obtained after fusion is significantly reduced. and the more fusion navigation sources, the higher the positioning accuracy. In the 3D multi-source fusion positioning scenario, the positioning accuracy is improved by more than 30% on average.

源语言英语
主期刊名2022 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2022
出版商Institute of Electrical and Electronics Engineers Inc.
ISBN(电子版)9781665469722
DOI
出版状态已出版 - 2022
活动2022 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2022 - Xi'an, 中国
期限: 25 10月 202227 10月 2022

出版系列

姓名2022 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2022

会议

会议2022 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2022
国家/地区中国
Xi'an
时期25/10/2227/10/22

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