Star identification independence on the camera parameters

Dezhi Su; Dong Chen; Mingyu Zhou; Kun Wang

doi:10.1117/12.2070141

2 September 2014 Star identification independence on the camera parameters

Dezhi Su, Dong Chen, Mingyu Zhou, Kun Wang

Proceedings Volume 9284, 7th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optoelectronics Materials and Devices for Sensing and Imaging; 92840I (2014) https://doi.org/10.1117/12.2070141
Event: 7th International Symposium on Advanced Optical Manufacturing and Testing Technologies (AOMATT 2014), 2014, Harbin, China

Abstract

Star identification is the key problem of satellite attitude determination from star sensor. Since star angular distance is directly used as matching feature in traditional star identification, the precision and success rate of traditional method are highly dependent on the calibrated accuracy of the star camera parameters. In this paper, a star identification algorithm is improved. The algorithm uses interior angles of a triangle composed of observation stars as matching feature. The triangles composed by nautical star and observed star are homothetic. Interior angles of triangle are independent from both the focal length f. Thus this method is not dependent on camera parameters, and the position information is unnecessarily priori. Monte Carlo experiment shows that the probability of failing Star identification is less than 6.63%. Generally, the time of star identification process is restricted to 30ms. In addition, it can work well within the 50% error of f. Compared with traditional algorithm; this algorithm has advantage on successful identification rate and reliability.

Citation Download Citation

Dezhi Su, Dong Chen, Mingyu Zhou, and Kun Wang "Star identification independence on the camera parameters", Proc. SPIE 9284, 7th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optoelectronics Materials and Devices for Sensing and Imaging, 92840I (2 September 2014); https://doi.org/10.1117/12.2070141

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