针对现有导航星选取方法提取的导航星分布不均匀,以及方法复杂、速度较慢的不足,通过在球面上近似均匀分布的螺旋基准点邻域选取、保留一颗导航星,满足了分布均匀性的要求;采用k-vector方法在基准点附近搜索候选星,提高了方法的整体速度;提出了“距离-星等”加权方法对候选星进行筛选,以保留更为科学合理的导航星。仿真结果表明,选取的导航星分布较为均匀,方法实现简单、快速,且能够有效降低视场内可观测星数的标准差。

Due to the limit of nonuniform distribution of the selected guide stars, the complexity and slow speed of the present guide star selection methods, a novel fast guide star selection method was proposed. By selecting and retaining one guide star in the neighbourhood of each approximately homogeneous spired reference point, the distribution uniformity of the guide stars was satisfied. The k-vector method for searching candidate stars around the reference points was introduced to improve search speed. The'Separation-Magnitude' weighting method was proposed for evaluating candidate stars, the more reasonable guide stars were retained. The simulation results show that the guide stars selected by this method have particular uniformity, the method is realized fast and simply. The standard deviations of the number of the observable guide stars in the field of view(FOV) can be effectively reduced.