计算机科学 ›› 2022, Vol. 49 ›› Issue (11A): 211000223-5.doi: 10.11896/jsjkx.211000223
陆涵1,2, 林宝军1,2,3,4,5, 张永合2, 丁国鹏2, 王新宇2
LU Han1,2, LIN Bao-jun1,2,3,4,5, ZHANG Yong-he2, DING Guo-peng2, WANG Xin-yu2
摘要: 在科学探测、卫星高精度定位等领域中,星敏感器需要快速获得姿态信息,为了提高精度,通常需要提高角分辨率,降低视场,以更高的星等作为参考。星图识别算法是星敏感器快速获得姿态信息的关键,当传统的三角形算法面对星数较少、暗星占比更大的情况时,识别精度会迅速下降至70%~80%,识别精度有待提高。对现有星敏感器星图识别算法进行研究后,综合主流星图识别算法的优缺点,提出了一种基于三角形角距匹配的改进算法,结合星等区间差特征,在增加特征维数的同时引入第四颗星用于验证,以此减少冗余匹配。仿真实验结果表明,该方法在识别速度不低于经典三角形改进算法的同时,提高了识别率,达到了98.4%。在引入位置噪声和星等噪声的情况下,仍然保持93%以上的识别率,具有较强的鲁棒性。
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