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Rapid star identification algorithm for fish-eye camera based on PPP/INS assistance

Published online by Cambridge University Press:  13 June 2022

Chonghui Li Open the ORCID record for Chonghui Li [Opens in a new window] ,
Yuanxi Yang ,
Guorui Xiao ,
Zhanglei Chen ,
Shuai Tong  and
Zihao Liu
Chonghui Li
Affiliation:
State Key Laboratory of Geo-information Engineering, Xian, Shanxi, 710054, the People's Republic of China Institute of Geospatial Information, Information Engineering University, Zhengzhou, Henan, 450001, the People's Republic of China
Yuanxi Yang
Affiliation:
State Key Laboratory of Geo-information Engineering, Xian, Shanxi, 710054, the People's Republic of China
Guorui Xiao*
Affiliation:
Institute of Geospatial Information, Information Engineering University, Zhengzhou, Henan, 450001, the People's Republic of China
Zhanglei Chen
Affiliation:
Institute of Geospatial Information, Information Engineering University, Zhengzhou, Henan, 450001, the People's Republic of China
Shuai Tong
Affiliation:
Institute of Geospatial Information, Information Engineering University, Zhengzhou, Henan, 450001, the People's Republic of China
Zihao Liu
Affiliation:
Institute of Geospatial Information, Information Engineering University, Zhengzhou, Henan, 450001, the People's Republic of China
*
*Corresponding author. E-mail: xgr@whu.edu.cn
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Abstract

The fish-eye star sensor with a field of view (FOV) of 180° is an important piece of equipment for attitude determination, which improves the visibility of stars significantly. However, it also brings the star identification (star-ID) difficulties because of imprecise calibrations. Thus, a fish-eye star-ID algorithm supported by the integration of the precise point positioning/inertial navigation system (PPP/INS) is proposed. At first, a reference star map is generated in combination with the distortion model of the fish-eye camera based on the position and attitude information from the PPP/INS. Then the star points are extracted in a specific neighbourhood of the reference star points. Subsequently, the extracted star points are individually tested and identified according to angular distance error. Finally, the real-time precise attitude is determined based on the star-ID results. Experimental results show that, 270–310 stars can be identified in a fish-eye star map with an average time of 0.03 s if the initial attitude error is smaller than 1.5° and an attitude determination accuracy better than 10″ can be achieved by support from PPP/INS.

Keywords

integrated navigation system (INS)attitude and heading reference system (AHRS)multi-sensor navigationimagingprecise point positioning (PPP)
Type
Research Article
Information
The Journal of Navigation , Volume 75 , Issue 4 , July 2022 , pp. 928 - 945
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Copyright
Copyright © The Author(s), 2022. Published by Cambridge University Press on behalf of The Royal Institute of Navigation

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