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Proceedings Paper

An improved triangle star pattern recognition algorithm with high identification probability
Author(s): Lei Du; Yan Zhao
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Paper Abstract

In this paper, an improved triangle star pattern recognition algorithm is proposed. There are two improvements in the algorithm compared with the classic triangle algorithm. Firstly, the adjacent measured stars in field of view are eliminated and the remaining measured stars are used to build candidate measured star triangles. So high attitude determination precision is obtained if a triangle is chosen from candidate measured star triangles to identify the three stars. Secondly, in the candidate measured star triangles, the triangle which has great difference in three angular distances is chosen as the measured star triangle waiting for identification, so as to mismatch between it and every guide star triangle due to angular distance match can be avoided. In the case of a certain position and magnitude error limit, simulation results indicate that the identification probability of this algorithm is much higher than that of the classic triangle algorithm, and is also higher than that of the triangle algorithm based on the star pattern of two angular distances and their angle. So the algorithm introduced in this paper can enhance the reliability of attitude determination of star trackers.

Paper Details

Date Published: 27 August 2011
PDF: 5 pages
Proc. SPIE 8193, International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications, 819305 (27 August 2011); doi: 10.1117/12.895213
Show Author Affiliations
Lei Du, Beihang Univ. (China)
Yan Zhao, Beihang Univ. (China)


Published in SPIE Proceedings Vol. 8193:
International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications
Jeffery J. Puschell; Junhao Chu; Haimei Gong; Jin Lu, Editor(s)

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