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Proceedings Paper

Star point centroid algorithm based on background forecast
Author(s): Jin Wang; Rujin Zhao; Nan Zhu
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Paper Abstract

The calculation of star point centroid is a key step of improving star tracker measuring error. A star map photoed by APS detector includes several noises which have a great impact on veracity of calculation of star point centroid. Through analysis of characteristic of star map noise, an algorithm of calculation of star point centroid based on background forecast is presented in this paper. The experiment proves the validity of the algorithm. Comparing with classic algorithm, this algorithm not only improves veracity of calculation of star point centroid, but also does not need calibration data memory. This algorithm is applied successfully in a certain star tracker.

Paper Details

Date Published: 2 September 2014
PDF: 6 pages
Proc. SPIE 9284, 7th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optoelectronics Materials and Devices for Sensing and Imaging, 92840D (2 September 2014); doi: 10.1117/12.2069199
Show Author Affiliations
Jin Wang, Institute of Optics and Electronics (China)
Univ. of Electronic Science and Technology of China (China)
Rujin Zhao, Institute of Optics and Electronics (China)
Nan Zhu, Beijing Institute of Control Engineering (China)


Published in SPIE Proceedings Vol. 9284:
7th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optoelectronics Materials and Devices for Sensing and Imaging
Yadong Jiang; Junsheng Yu; Bernard Kippelen, Editor(s)

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