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A New Simplified Selection Algorithm of the Guide Star Catalogue for a Star Sensor

Published online by Cambridge University Press:  15 July 2014

Xinlu Li
Affiliation:
(School of Opt-electronics Engineering, Changchun University of Science and Technology, Changchun, 130022, China)
Jinhua Yang
Affiliation:
(School of Opt-electronics Engineering, Changchun University of Science and Technology, Changchun, 130022, China)
Liu Zhang
Affiliation:
(National & Local United Engineering Research Center of Small Satellite Technology, Changchun Institute of Optics, fine Mechanics and Physics, Chinese Academy of Sciences, Changchun, 130033, China)
Shuang Li*
Affiliation:
(College of Astronautics, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China)
Guang Jin
Affiliation:
(National & Local United Engineering Research Center of Small Satellite Technology, Changchun Institute of Optics, fine Mechanics and Physics, Chinese Academy of Sciences, Changchun, 130033, China)

Abstract

A guide star catalogue characterised by fewer guide stars, uniform distribution and high completeness is conducive to the improvement of star pattern identification and star tracking efficiency, and it has become an important study objective. A screening method, which takes “quasi-uniform distribution” of space solid angles as the principle and the size of the space solid angle corresponding to 4°×4° on the equator as the reference and divided the whole celestial sphere into 2,664 sub-blocks in sequence, is proposed in this paper. Based on this method, a “quasi-uniform” guide star catalogue with 2,937 guide stars was obtained. According to our ergodic statistical analysis of the whole celestial sphere, in a 12°×12° field of view, after the space solid angle method was used to divide the celestial sphere, the probability of emergence of three guide stars was 99·9% or above, while the number of guide stars decreased by 12·6% compared to the inscribed cube method. It can be concluded that when the completeness is equal, the space solid angle method is superior to the inscribed cube method in both capacity and distribution uniformity.

Type
Research Article
Copyright
Copyright © The Royal Institute of Navigation 2014 

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