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Optical Engineering

Flower algorithm for star pattern recognition in space surveillance with star trackers
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Paper Abstract

Using star tracker to perform space surveillance is a focal point of research in aerospace engineering. However, autonomous attitude determination with star trackers in missions is a challenging task, because of spacecraft attitude dynamics and false stars. We present a novel star pattern recognition algorithm to resolve these problems. The algorithm defines a star pattern, called a flower code, composed of angular distances and circular angles. Then, a three-step strategy is adopted to find the correspondence of the sensor pattern and the catalog pattern, including initial lookup table match, cyclic dynamic match, and validation. A number of experiments are carried out on simulated and real star images. The simulation results show that the proposed method provides improved performance, especially on robustness against false stars. Also, the results for real star images demonstrate the reliability of the method for ground-based measurements.

Paper Details

Date Published: 1 December 2009
PDF: 8 pages
Opt. Eng. 48(12) 124401 doi: 10.1117/1.3269686
Published in: Optical Engineering Volume 48, Issue 12
Show Author Affiliations
Jiaqi Gong, Huazhong Univ. of Science and Technology (China)
Lin Wu, Huazhong Univ. of Science and Technology (China)
Junbin Gong, Huazhong Univ. of Science and Technology (China)
Jie Ma, Huazhong Univ. of Science and Technology (China)
Jin-Wen Tian, Huazhong Univ. of Science and Technology (China)

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