LIS模式下基于双主星集合匹配的星图识别方法

A Star Identification Method Based on Matching Algorithm with Double Main Star Sets in LIS Mode

为提高折射星图中非折射星的识别成功率,提出了一种大视场星敏感器高鲁棒性星图识别方法。首先,筛选基础星表,实现导航星库均匀化,采用分组快速搜索算法,提高星对角距特征匹配速度。其次,提出一种基于双主星集合的星点匹配算法,通过匹配、验证、确认三个阶段,多次检验星点集合中的导航星序号,提高星图识别算法的鲁棒性。仿真结果表明,在星点位置噪声、星等噪声、伪星和缺失星等干扰环境下,所提算法与传统的三角形-金字塔混合算法相比,抗干扰能力更强。在含有6颗折射星的干扰条件下,所提算法的非折射星识别成功率仍高于95.6%,较传统算法识别率提升31%。

For the purpose of improving successful identification rate of non-refracted stars in star image with refracted stars,a high ro-bust star identification method for star sensor with large field of view is proposed.Firstly,basic star table is selected to achieve distribu-tion uniformity of guide star catalogue.A group search approach is developed to improve matching speed between angular distance and star pair attribute database.Moreover,star matching algorithm with double main star sets is proposed to improve the robustness of star recognition,which checks two star sets repeatedly through three phases including matching,verification and confirmation.The simulation results indicate that the proposed algorithm shows higher robustness than traditional triangle-pyramid hybrid algorithm under interference condition including positional noise,magnitude noise and false stars.In star image with six refracted stars,the non-refracted star identifi-cation rate of the proposed method is higher than 95.6%,which is 31%higher than the successful rate of traditional algorithm.