Computer Science ›› 2022, Vol. 49 ›› Issue (11A): 211000223-5.doi: 10.11896/jsjkx.211000223

• Image Processing & Multimedia Technology • Previous Articles     Next Articles

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).

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

CLC Number: 

  • TP391
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