宇航学报

宇航学报 ›› 2015, Vol. 36 ›› Issue (1): 76-81.doi: 10.3873/j.issn.1000-1328.2015.01.010

• 制导、导航与控制 • 上一篇    下一篇

星图匹配观测三角形优化选取技术

李欣璐，杨进华，张刘，支帅   

  1. 1. 长春理工大学光电工程学院，吉林 长春 130022；
    2. 中国科学院长春光学精密机械与物理研究所小卫星技术国家地方联合工程研究中心，吉林 长春 130033；
    3. 中国科学院大学 北京 100039
  • 收稿日期:2014-04-21 修回日期:2014-06-17 出版日期:2015-01-15 发布日期:2015-01-25
  • 基金资助:

    国家自然科学基金项目（61008046）

Further Optimization of Selected Observation Triangles Technique Before Star Pattern Matching

LI Xin lu, YANG Jin hua, ZHANG Liu , ZHI Shuai   

  1. 1. The School of Opt electronics Engineering, Changchun University of Science and Technology, Changchun, Jilin 130022,China；
    2. National & Local United Engineering Research Center of Small Satellite Technology, Changchun Institute of Optics,
    Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun, Jilin 130033,China；
    3. University of Chinese Academy of Sciences, Beijing 100039,China
  • Received:2014-04-21 Revised:2014-06-17 Online:2015-01-15 Published:2015-01-25

PDF

620

摘要：

为了提高三角形星图识别算法的成功率，减少匹配过程中的计算量，进而提高星敏感器实时输出姿态的性能，提出一种星图匹配前“二次优化”选取观测三角形方法，该方法在在初选观测三角形的基础上，对观测三角形进行第二次优化筛选，进而提高星图识别环节的效率。优化选取观测三角形是基于QUEST定姿原理，将观测三角形的边与夹角的约束关系转换到像平面上。全天球遍历分析统计结果表明：在12°×12°视场中，采用本文提出的方法，可使一次匹配成功并输出可用于星图验证环节的较高精度姿态信息的概率提高60.9％，从总体上可大大减少星敏感器星图识别环节的计算量，并且每帧全天球定姿输出的时间一致性也被大大提高。

关键词: 星敏感器, 星图识别, 观测三角形, 优化方法

Abstract:

A new secondary optimization of selected observation triangles algorithm before star pattern matching is proposed to improve the success rate of the triangle-based star pattern identification algorithm, to reduce the computational complexity of the matching process, and to improve the performance of the star sensors for providing real-time attitudes. The originally selected observation triangles are optimized again before matching and verification to improve the efficiency of star pattern identification. The observation triangles are optimized according to the Quarternion Estimation (OUEST) attitude determination principle, and the constraints with respect to the observation triangle edges and included angles are converted to the image plane. Statistical results of ergodic analysis of the whole celestial sphere show that in the 12 °× 12°FOV, the proposed method can improve the success rate of 60.9% that the match is established at the first attempt and the accurate attitude information for is provided star pattern verification. Meanwhile, our method can also significantly reduce the overall computational complexity of star pattern identification for star sensors and enhance the temporal consistency of the output attitude for the whole celestial sphere in each frame.

Key words: Star sensor, Star pattern recognition, Observation triangle, Optimization algorithm

中图分类号: