基于ITSI优选算法的星敏感器导航星库建立

为了有效提高星敏感器星图识别性能，基于ITSI导航星优选算法，合理地进行了导航星库的构建。该优选算法是在传统的导航星优选算法基础上进行的改进，通过区域分割和星密集度计算来实现优选导航星。同时，基于SAO星表，本文建立了一个星图仿真器的软件平台，可以按照实际需求输出全天球范围内不同光轴指向、视场角、轨道位置、像元敏感度等约束条件下的观测星图。在此星图的基础上，运用上述导航星优选算法，建立导航星星库。经均匀性评价准则验证，本文提出的导航星优选算法可以更好地实现导航星的均匀分布，降低星冗余度。最终基于此算法建立导航星库，可以有效降低星图匹配复杂性，提高星图匹配速率和识别成功率。

Guide star database creation for the Star Sensor based on ITSI Selection Algorithm

A guide star database based on a new guide star selection algorithm is properly built,in order to improve the performance of the star pattern recognition for the star sensor. The selection algorithm is preferred by improving the traditional algorithm,through the process of regional segmentation and star-density calculations. Meanwhile,a software platform is established based on SAO star catalog. Through it,different star patterns can be put out according to the actual needs,including the range viewing angle,tracking position,pixel sensitivity and other restricted conditions. The new selection algorithm is used to select guide stars among the stars of the above star pattern. Ultimately the guide star database can be built. The algorithm is proved better to solve the problem of navigation star uniform distribution by uniformity evaluation criteria. Finally,by building the guide star database,the complexity of the star pattern identifica-tion can be effectively reduced,and the matching rate can also be greatly improved as long as the star pattern recogni-tion rate.