DocumentCode :
442170
Title :
An autonomous star pattern recognition algorithm using bit match
Author :
Li, Bao-hua ; Zhang, Ying-chun ; Li, Hua-yi ; Xu, Shi-Wen
Author_Institution :
Res. Center of Satellite Technol., Harbin Inst. of Technol., China
Volume :
8
fYear :
2005
fDate :
18-21 Aug. 2005
Firstpage :
4818
Abstract :
A novel star pattern recognition algorithm using bit match for star sensor is presented in the paper. At first the entire celestial sphere is divided into n un-overlapped square sub-areas. The number of navigation stars in the sub-area data is saved in the first part of the sub-area data. Every bit 1 refers to a navigation star while every bit 0 not. An 18-bit binary code and an extra 0 are used to the number of successive bit 0s, and 11 are used to a bit 1. These resulted bit numbers are stored in corresponding position in the sub-area data. Let all sub-area data rearrange with the number of navigation stars in ascending order and be stored as the navigation star database. The logical AND operation is used for star pattern recognition. The simulations show that the less time for star pattern recognition and uses less memory for storing navigation star database are used with the algorithm in this paper than those with KMP (Knuth-Morris-Pratt) algorithm.
Keywords :
artificial satellites; image sensors; pattern clustering; stars; Knuth-Morris-Pratt algorithm; autonomous star pattern recognition algorithm; bit match; celestial sphere; logical AND operation; navigation star database; star sensor; Aerospace electronics; Binary codes; Cameras; Paper technology; Pattern matching; Pattern recognition; Position measurement; Satellite navigation systems; Space vehicles; Visual databases; Star sensor; bit match; star pattern recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on
Conference_Location :
Guangzhou, China
Print_ISBN :
0-7803-9091-1
Type :
conf
DOI :
10.1109/ICMLC.2005.1527791
Filename :
1527791
Link To Document :
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