基于等面积圆环和伴星夹角的星图识别算法  

Star identification algorithm based on equal⁃area circle and companion star pinch angle

作　　者：张刘[1] 何金航 刘赫 章家保 吕雪莹 ZHANG Liu;HE Jin-hang;LIU He;ZHANG Jia-bao;LYU Xue-ying(College of Instrumentation&Electrical Engineering,Jilin University,Changchun 130012,China)

机构地区：[1]吉林大学仪器科学与电气工程学院,长春130012

出　　处：《吉林大学学报（工学版）》2024年第3期821-827,共7页Journal of Jilin University:Engineering and Technology Edition

基　　金：国家自然科学基金项目(62073150).

摘　　要：针对于传统径向和环向特征星图识别算法在构建径向特征过程中伴星分布不均匀以及采用环向特征匹配过程中特征值不稳定的问题,提出了一种等面积圆环划分和伴星矢量夹角相结合的星图识别算法。通过选取动态半径使得径向特征下的圆环面积相等,保证伴星落在每个圆环的概率相等,有效提高了径向匹配过程的识别率。对于径向匹配后冗余的导航星,采用伴星组成的矢量夹角特征进行筛选,选定匹配特征值最高的为最终识别结果。仿真模拟结果表明:当添加位置噪声为1像素时,星图识别成功率达到95%;当伪星数目为2颗时,识别率达到98%。相较于传统径向和环向识别算法,本文方法在识别率和识别速度上具有明显优势。In order to solve the problems of uneven distribution of companion stars during the construction of radial features and unstable feature values in the matching process with circular features in the traditional radial and circular feature recognition algorithms,a star identification algorithm combining equal-area circular division and companion star vector pinch angle was proposed.By choosing the dynamic radius,so that the area of circles under radial feature is equal,the probability of companion star falling on each circle was guaranteed to be equal,which effectively improves the recognition rate of radial matching process.For the redundant navigation stars after radial matching,the vector pinch features composed of companion stars were used for screening,while the one with the highest matching feature value was selected as the final identification result.The results of experimental simulation show that the success rate of star identification reaches 95%when the added position noise is 1 pixel;the recognition rate reaches 98%when the number of false stars is 2;compared with the traditional radial and circular recognition algorithms,the proposed method has obvious advantages in the recognition rate and recognition speed.

关 键 词：星图识别 径向特征 环向特征 匹配度 

分 类 号：V448.11[航空宇航科学与技术—飞行器设计]