DocumentCode :
233734
Title :
A novel star identification algorithm using pattern vector
Author :
Zhao Lin ; Hou Yushi ; Hao Yong ; Wu Xiaowen
Author_Institution :
Harbin Eng. Univ., Harbin, China
fYear :
2014
fDate :
28-30 July 2014
Firstpage :
703
Lastpage :
706
Abstract :
Agile satellites have rapid development in recent years. High accuracy attitude determination is the guarantee of its rapid attitude maneuver control. Star sensors are the most accurate attitude measurement device. An effective star identification algorithm for star sensors is proposed in the paper which is especially applicable on agile satellites. It can realize identification accurately and effectively. The algorithm eliminates the shortcomings of the conventional algorithm and a comparison between the two algorithms is made. The results demonstrate that the proposed algorithm outperforms the conventional algorithm in robustness to magnitude and position noise.
Keywords :
artificial satellites; attitude control; sensors; agile satellites; attitude determination; attitude maneuver control; attitude measurement device; magnitude noise; novel star identification algorithm; pattern vector; position noise; star sensors; Accuracy; Feature extraction; Noise; Robustness; Satellites; Sensors; Vectors; Agile satellite; maneuver control; similarity calculation; star identification; star sensor;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (CCC), 2014 33rd Chinese
Conference_Location :
Nanjing
Type :
conf
DOI :
10.1109/ChiCC.2014.6896711
Filename :
6896711
Link To Document :
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