三视场天文导航视场间星图识别的导航星选取

吴量; 王建立; 王昊京

doi:10.3788/OPE.20152306.1732

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三视场天文导航视场间星图识别的导航星选取

信息科学 | 更新时间：2020-08-13

- 三视场天文导航视场间星图识别的导航星选取
- Guide star selection for star pattern recognition between three FOVs
- 光学精密工程 2015年23卷第6期页码：1732-1741
- 作者机构：
  
  1. 中国科学院长春光学精密机械与物理研究所,吉林长春,中国,130033
  2. 中国科学院大学北京,中国,100049
- 作者简介：
- 基金信息：
  
  国防科技创新基金资助项目(No.CXJJ-10-M53)()
- DOI：10.3788/OPE.20152306.1732
  中图分类号： V249.323;TP391.4
- 收稿日期：2014-07-25，
  
  修回日期：2014-08-21，
  
  纸质出版日期：2015-06-25
- 稿件说明：
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吴量, 王建立, 王昊京. 三视场天文导航视场间星图识别的导航星选取[J]. 光学精密工程, 2015,23(6): 1732-1741

WU Liang, WANG Jian-li, WANG Hao-jing. Guide star selection for star pattern recognition between three FOVs[J]. Editorial Office of Optics and Precision Engineering, 2015,23(6): 1732-1741
吴量, 王建立, 王昊京. 三视场天文导航视场间星图识别的导航星选取[J]. 光学精密工程, 2015,23(6): 1732-1741 DOI： 10.3788/OPE.20152306.1732.

WU Liang, WANG Jian-li, WANG Hao-jing. Guide star selection for star pattern recognition between three FOVs[J]. Editorial Office of Optics and Precision Engineering, 2015,23(6): 1732-1741 DOI： 10.3788/OPE.20152306.1732.

摘要

研究了三视场天文导航视场间导航星的选取方法

以提高其视场间星图识别的效率

减小识别特征数据库规模.根据三视场天文导航星图识别的特点

分析了导航视场间导航星数目对视场间三角形星图识别的影响.考虑视场间三角形星图识别的需求

给出了任意视场至少包含1颗导航星和亮星优先选取的视场间导航星选取准则.然后

遵从上述准则提出了一种基于星等优先的一阶自组织导航星选取算法.利用提出的算法制备了视场间导航星星库

并对该导航星星库的性能进行了仿真分析和外场实验.实验结果表明:使用该算法制备的导航星星库规模较星等阈值过滤方法制备的星库规模降低了53.91%

且库中导航星分布均匀

符合视场间导航星的要求.

Abstract

A guide star selection algorithm for the three Field of View(FOV) navigation system was proposed to increase the efficiency of the star pattern recognition between three FOVs

and to decrease the size of a guide star database. According to the characteristics of star pattern recognition for three FOV navigation system

the influence of the number of guide stars between three FOVs on the triangle star pattern recognition was analyzed. According to the requirement of triangle star pattern recognition between FOVs

the guide star selection principle

one guide star at least is inside the FOV and the brighter star can be selected in priority

was presented. Then the 1st order self-organizing guide star selection algorithm based on the principle magnitude mentioned above was proposed. A guide star database between FOVs was established based on the proposed algorithm

and the simulation analysis and field experiments of the capability of the guide star database were performed. Experimental results indicate that the number of the guide stars in the database selected by this method have reduced by 53.91% compared with that of the visual magnitude threshold method and the guide stars in the database show uniform distribution. It satisfies the guide star selection requirement of the star pattern recognition between FOVs in celestial navigation systems.

关键词

Keywords

references

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