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。

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.