Star point centroid algorithm based on background forecast

Jin Wang; Rujin Zhao; Nan Zhu

doi:10.1117/12.2069199

2 September 2014 Star point centroid algorithm based on background forecast

Jin Wang, Rujin Zhao, Nan Zhu

Proceedings Volume 9284, 7th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optoelectronics Materials and Devices for Sensing and Imaging; 92840D (2014) https://doi.org/10.1117/12.2069199
Event: 7th International Symposium on Advanced Optical Manufacturing and Testing Technologies (AOMATT 2014), 2014, Harbin, China

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.

Citation Download Citation

Jin Wang, Rujin Zhao, and Nan Zhu "Star point centroid algorithm based on background forecast", 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); https://doi.org/10.1117/12.2069199

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