计算机科学 ›› 2022, Vol. 49 ›› Issue (11A): 211000223-5.doi: 10.11896/jsjkx.211000223

• 图像处理&多媒体技术 • 上一篇    下一篇

小视场星敏感器的三角形改进算法

陆涵1,2, 林宝军1,2,3,4,5, 张永合2, 丁国鹏2, 王新宇2   

  1. 1 上海科技大学信息科学与技术学院 上海 201210
    2 中国科学院微小卫星创新研究院 上海 201203
    3 中国科学院大学 北京 100094
    4上海微小卫星工程中心 上海 201210
    5 中国科学院空天信息创新研究院 北京 100094
  • 出版日期:2022-11-10 发布日期:2022-11-21
  • 通讯作者: 林宝军(linbaojun@aoe.ac.cn)
  • 作者简介:(luhan@shanghaitech.edu.cn)
  • 基金资助:
    国家自然科学基金(42001408)

Improved Triangular Algorithm for Small Field of View Star Sensor

LU Han1,2, LIN Bao-jun1,2,3,4,5, ZHANG Yong-he2, DING Guo-peng2, WANG Xin-yu2   

  1. 1 School of Information Science and Technology,ShanghaiTech University,Shanghai 201210,China
    2 Innovation Academy for Microsatellites,Chinese Academy of Sciences,Shanghai 201203,China
    3 University of Chinese Academy of Sciences,Beijing 100094,China
    4 Shanghai Engineering Center for Microsatellites,Shanghai 201210,China5 Aerospace Information Research Institute,Chinese Academy of Sciences,Beijing 100094,China
  • Online:2022-11-10 Published:2022-11-21
  • About author:LU Han,born in 1997,postgraduate.His main research interests include star identification,image processing and so on.
    LIN Bao-jun,born in 1963,Ph.D,professor,Ph.D supervisor.His main research interests include computer control technology and satellite overall.
  • Supported by:
    National Natural Science Foundation of China(42001408).

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。

关键词: 星敏感器, 星图识别, 相似三角形, 角距匹配, 星等区间差

Abstract: In the fields of scientific exploration and satellite high-precision positioning,star sensors need to obtain attitude information in a short time.In order to improve accuracy,it is necessary to increase the angular resolution,reduce the field of view and use a higher magnitude as a reference.The star pattern recognition algorithm is the key to quickly obtain the attitude information for star sensors.When the traditional triangle algorithm faces a situation where the number of stars is small and the proportion of dark stars is larger,the recognition accuracy will quickly drop to 70%~80%,which needs to be improved.Motivated by this,an efficient star pattern recognition algorithm based on triangle angular distance matching is proposed.The proposed method combines the feature of magnitude interval difference and introduces the fourth star verification,so as to reduce redundant matching.Simulation results show that the proposed method improves the recognition rate to 98.4% while the recognition speed is not lower than that of the classical improved triangle algorithm.In the case of introducing position noise and magnitude noise,it still maintains a recognition rate of more than 93%,which has strong robustness.

Key words: Star sensor, Star pattern recognition, Similar triangle, Angular distance matching, Magnitude interval difference

中图分类号: 

  • TP391
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