A Fast Recognition Algorithm for Star Identification of Star Trackers

被引：0

作者：

Wang, Xiaochu ^{[1
]}

Sun, Changhao ^{[2
]}

Sun, Ting ^{[3
]}

Yin, Hang ^{[4
]}

Xing, Fei ^{[5
]}

机构：

[1] Beijing Informat Sci & Technol Univ, Qian Xuesen Lab Space Technol, Beijing, Peoples R China

[2] China Acad Space Technol, Qian Xuesen Lab Space Technol, Beijing, Peoples R China

[3] Beijing Informat Sci & Technol Univ, Sch Photoelect Informat & Commun Engn, Beijing, Peoples R China

[4] Beijing Inst Astronaut Syst Engn, Informat Integrat & Command Decis, Beijing, Peoples R China

[5] Tsinghua Univ, Dept Precis Instruments, Beijing, Peoples R China

来源：

IECON 2017 - 43RD ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY | 2017年

基金：

中国国家自然科学基金; 中国博士后科学基金;

关键词：

star tracker; star identification; recognition; deterministic checking; tolerance criterion;

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

This paper focuses on recognizing the correct match of star identification among multiple possible candidates for star trackers. Derived from the perturbation theory, a tolerance criterion is proposed and proved to check the correctness of the candidates. A recognition algorithm is then proposed based on the tolerance criterion to select the correct match. Compared to traditional recognition algorithms, the proposed algorithm provides a straightforward and deterministic procedure and avoids non-deterministic, time-consuming, inefficient lookingup operations. Finally, simulation examples are given to show processing details and verify the proposed algorithm.

引用

页码：6059 / 6064

页数：6

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