Autonomous optical navigation based on adaptive SR-UKF for deep space probes

Lichao Ma*, Zaozhen Liu, Xiuyun Meng

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

4 引用 (Scopus)

摘要

A novel adaptive Square-Root Unscented Kalman Filter (Adaptive SR-UKF) was proposed to solve the problem that the priori noise statistics are difficult to obtain accurately in an autonomous optical navigation for deep space probes. The adaptive SR-UKF realizes its initialization by using an approximation of the priori noise statistics, which is corrected at each step by the adaptive SR-UKF that adopts a limited memory algorithm for the estimation of the noise statistics based on noise samples. Effectiveness of the Adaptive SR-UKF is examined by the simulation of an autonomous optical navigation for the cruise phase of a cislunar probe, and results show that the Adaptive SR-UKF is much superior to UKF and SR-UKF when the priori noise statistics are inaccurate.

源语言英语
主期刊名Proceedings of the 29th Chinese Control Conference, CCC'10
321-325
页数5
出版状态已出版 - 2010
活动29th Chinese Control Conference, CCC'10 - Beijing, 中国
期限: 29 7月 201031 7月 2010

出版系列

姓名Proceedings of the 29th Chinese Control Conference, CCC'10

会议

会议29th Chinese Control Conference, CCC'10
国家/地区中国
Beijing
时期29/07/1031/07/10

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