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在分析了现代星敏感器的姿态测量精度影响因素的基础上,针对软件程序中最为费时的两个过程:星图获取和星图识别进行了研究.分别提出了高效可靠的星图获取新策略,即将基于小面模型和极值理论的最大极值点的估计算法和基于单一特征值的检索的新三角形星图识别算法.新的星图提取技术易于硬件实现,适应性强,效率高.而新的星图识别技术则能与矢量技术结合进一步改进效率.它们对提高航天器自主导航系统的性能有重要的意义.
Based on the analysis of the influencing factors of the attitude measurement accuracy of modern star sensors, two most time-consuming procedures in software programs are studied: the acquisition of star charts and the recognition of star charts.A new efficient and reliable method of acquiring star charts is proposed respectively , Which is about the algorithm of maximum extremum point estimation based on facet model and extremum theory and a new triangular star image recognition algorithm based on single eigenvalue retrieval.The new star image extraction technology is easy to implement by hardware and has strong adaptability and high efficiency. However, the new star-map recognition technology can be combined with vector technology to further improve the efficiency, which is of great significance to improve the performance of the spacecraft autonomous navigation system.