摘要
首先提出在直角坐标系下将天球球面均匀地分成486个分区的方法——“内接正方体法”,实现导航星的快速检索。然后按照星对角距的大小升序排列,直接存储星对角距,并通过设置星对角距状态标识,完成星对角距的快速匹配搜索。最后,引入验证识别环节有效地解决观测三角形与匹配的导航三角形产生的冗余问题。仿真实验表明,改进的三角形星图识别方法对星点位置噪声和星等(亮度)噪声均具有较强的抗干扰能力,且在识别时间和存储空间的需求方面均比传统的三角形算法也具有较大的优势。
With 486 partitions, an equal partition method of celestial sphere without overlap is firstly presented to speed up guide star indexing. And then star angular distances are directly stored according to their length increasing. The star angular distances are matched quickly by labeling status for the star angular distances. Finally,a verification identification is used to solve the redundancies of the observed star triangle and the mapped navigation star triangle. Simulation is carried out, and shows that the algorithm proposed in this paper has the advantage in terms of robustness against the star position noise and star magnitude noise. Also the identification rate and the storage requirement are improved by the algorithm,as compared with the conventional triangle algorithms.
出处
《航空学报》
EI
CAS
CSCD
北大核心
2006年第6期1150-1154,共5页
Acta Aeronautica et Astronautica Sinica
基金
航空科学基金[02151019]
武器装备预研基金[51420050203HK01]
民用航天预研项目
关键词
星敏感器
星图识别
星对角距
三角形匹配
状态标识
star sensor
star map identification
star angular distance
triangle map
status label