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2023 | OriginalPaper | Chapter

Research on Segmented Weighted Multi-vector Attitude Determination Method Based on On-Orbit Accuracy of Star Sensors

Authors : Wang Jiawei, Jing Quan, Li Shaohui, Gao Hongtao, Mo Fan, Chen Xi

Published in: Signal and Information Processing, Networking and Computers

Publisher: Springer Nature Singapore

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Abstract

A segmented weighted multi-vector attitude determination method based on on-orbit accuracy of star sensors is studied to improve the fact that the current attitude determination methods cannot make full use of the measurement data when a large number of star sensors are equipped on a satellite and the problem that the attitude determination accuracy is susceptible to the temporary decline of the measurement accuracy of one single star sensor. The proposed method is based on QUEST algorithm, where the weighted coefficients are meliorated considering the layout angles of star sensors, mechanical installation structure and on-orbit measurement accuracy of star sensors. A mathematical simulation using on-orbit data shows that the attitude determination accuracy can be maintained at the high level, when the measurement accuracy of a star sensor declines.

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Metadata
Title
Research on Segmented Weighted Multi-vector Attitude Determination Method Based on On-Orbit Accuracy of Star Sensors
Authors
Wang Jiawei
Jing Quan
Li Shaohui
Gao Hongtao
Mo Fan
Chen Xi
Copyright Year
2023
Publisher
Springer Nature Singapore
DOI
https://doi.org/10.1007/978-981-19-3387-5_64