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精细导星星库是支撑未来大口径空间望远镜观测的必要组成部分,是用来确定空间望远镜视轴绝对指向的关键依据。导星星库的容量和星库的均匀性对于实现精细导星功能和性能指标都极为重要。为了有效提高星图识别性能,提出基于变异系数的优选筛星算法进行导星筛选并构建星库。经过仿真和均匀性评价准则验证,基于变异系数优选算法构建的精细导星星库分布均匀性好,能降低冗余度,有效提高识别概率。
The Fine Guide Star Database is an essential component of the future large-aperture space telescope observation and is the key basis for determining the absolute orientation of the visual axis of the space telescope. The capacity of the star bank and the uniformity of the bank are extremely important for achieving fine guide performance and performance. In order to effectively improve the performance of the recognition of the star chart, a star screening algorithm based on the coefficient of variation is proposed to screen the star guide and construct the star database. After verification by simulation and uniformity evaluation criteria, the fine guide star database constructed based on the variation coefficient optimization algorithm has good distribution uniformity, reduces the redundancy and effectively improves the recognition probability.