摘要
现有星图匹配算法存在搜索时间慢、算法实时性差的问题。为了满足上面级实时性的要求,文章采用K矢量查找算法来提高查找快速性,选择星对角矩作为星图匹配的特征量,构造星对角矩矢量,采用星棱锥星图匹配算法进行星图识别。最后采用上下位机的形式进行仿真分析,结果表明采用该星棱锥快速星图匹配算法成功率在99%以上,识别时间最长约为100ms,平均时间在15ms以内。该算法能够满足上面级对匹配算法快速性和高精度的要求。
Present star identification algorithms have the problem of real-time calculation.In order to meet the navigation requirement of the upper stage,the K vector search algorithm was employed,the inter-star angles as the matching feature quantity were selected and the star pyramid matching algorithm was used.Finally,simulation results indicate that the success rate of this algorithm is more than 99%,the maximum time of identification is about 100 ms,and the average time is less than 15 ms.The algorithm can meet the matching speed and precision requirements of the upper stage.
出处
《中国空间科学技术》
EI
CSCD
北大核心
2017年第4期56-62,共7页
Chinese Space Science and Technology
关键词
上面级
天文导航
星对角距
星图匹配
K矢量查找算法
星棱锥算法
upper stage
celestial navigation
inter-star angles
star identification
K vector search algorithm
pyramid algorithm
