一种结合角距特征的改进栅格星图识别算法  

An improved grid algorithm based on angular distance feature for star identification

作　　者：徐俣长 张扬 叶志龙 谢凤英[5] 臧云朝 杨光 袁洪 XU Yuchang;ZHANG Yang;YE Zhilong;XIE Fengying;ZANG Yunzhao;YANG Guang;YUAN Hong(Aerospace Information Research Institute,Chinese Academy of Sciences,Beijing 100094,China;School of Electronic,Electrical and Communication Engineering,University of Chinese Academy of Sciences,Beijing 100094,China;School of Electronic Information and Electrical Engineering,Shanghai Jiao Tong University,Shanghai 200240,China;Shanghai Aerospace Control Technology Institute,Shanghai,201109,China;School of Astronautics,Beihang University,Beijing 100191,China;Research Center for Space Optical Engineering,Harbin Institute of Technology,Harbin 150001,China)

机构地区：[1]中国科学院空天信息创新研究院,北京100094 [2]中国科学院大学电子电气与通信工程学院,北京100094 [3]上海交通大学电子信息与电气工程学院,上海200240 [4]上海航天控制技术研究所,上海201109 [5]北京航空航天大学宇航学院,北京100191 [6]哈尔滨工业大学空间光学工程研究中心,哈尔滨150001

出　　处：《导航定位与授时》2024年第1期97-105,共9页Navigation Positioning and Timing

基　　金：中国科学院青年创新促进会人才专项(2022126);复杂电子系统仿真重点实验室基金(614201004022210)。

摘　　要：针对栅格算法易受邻域星点影响导致误匹配的问题,提出了一种结合角距特征的改进栅格星图识别算法。首先介绍了改进栅格算法的原理,其次设计了融合栅格识别模式和星角距识别模式的算法实现流程,最后开展了基于不同视角下的大视场仿真星图的算法试验验证和性能分析。结果表明,由于角距特征具有旋转不变性和不易受观测星邻域星点分布影响等特点,结合角距特征对失效观测星进行再匹配的改进栅格算法,在兼顾存储量需求小、运行速度快等优势的同时,识别率和鲁棒性也得到了提升,最高识别率可达98.88%,在位置噪声干扰以及缺失星干扰下,改进算法的识别率仍可保持在95%,说明算法鲁棒性强,具有较好的应用前景。In order to solve the problem that grid algorithm is easily affected by stars in the neighborhood,which leads to the mismatching problem,an improved grid algorithm based on angular distance feature is proposed.Firstly,the principle of the improved grid algorithm is introduced.Then the algorithm flow of combining grid recognition pattern with star angular distance recognition pattern is designed.Finally,the improved algorithm is tested and verified on the simulation star map of the sensor with large field of view(FOV)in different directions.The results show that the angular distance feature is rotational invariance and not easily affected by the distribution of stars in the vicinity of the observed star,the improved grid algorithm combined with angular distance feature to make mismatching stars match again,which can improve the recognition rate and robustness while taking into account the advantages of small memory requirement and fast running speed,the highest recognition rate is 98.88%,and the recognition rate is still 95%under the interference of position noise and missing stars,indicating that the algorithm is robust and has good application prospects.

关 键 词：天文导航 星敏感器 星图识别 栅格算法 角距特征 

分 类 号：V448.2[航空宇航科学与技术—飞行器设计]