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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。
The existing star map matching algorithm has the problem of slow search time and bad real-time algorithm. In order to meet the requirements of real-time above, this paper uses K-vector search algorithm to improve the search fastness, select the star-to-moment as the feature of the star map matching, construct the star diagonal moment vector, Figure recognition. The simulation results show that the success rate of using the star pyramid fast star matching algorithm is above 99%, the longest recognition time is about 100ms, and the average time is within 15ms. The algorithm can meet the above requirements for fastness and high precision of the matching algorithm.