均匀快速的导航星选取方法

为解决导航星表分布的均匀性、构建的快速性问题,提出了一种基于极坐标细分法(PCSM)及距离-星等加权法相结合的导航星选取方法。通过在近似均匀分布的球面基准点的邻域附近选取导航星,用来保证所选导航星分布均匀性,并解决坐标极值越界问题;为了提高搜星过程整体速度,引入了k-vector 快速搜索方法搜索基准点邻域内候选星;最后,综合考虑导航星的均匀性与亮度指标,设计了距离-星等加权方法筛选导航星。仿真结果表明:该方法简单、易行、适用性强,选取的导航星分布均匀性好。

Method of uniformity and rapidity for selecting guide stars

To solve the problem of the distribution uniformity and construction rapidity of guide star catalog, a method for guide star selection was proposed, which was based on Polar Coordinates Subdivision Method (PCSM) and separation-magnitudeweighting method. In order to ensure the distribution uniformity of guide star, the guide star was selected near the reference points on spherical surface neighbourhood, and to insure the results does not overstepp coordinate boundary; by using k-vector method to search candidate stars which was in reference points neighbourhood, the speed of the algorithm could be improved obviously; at last, considering the guide star performance of distribution uniformity and brightness, guide star was selected by separation-magnitudeweighting method. Simulation results show that the algorithm is simple in realization, and it has strong universality,and the selected guide stars have good uniform distribution.