摘要
介绍了单星星图的特点,阐述了几种实用的提高星体定位精度的细分算法,并对这几种算法的精度进行了分析。将各种细分定位算法应用于模拟单星星图星体坐标的提取,对模拟星图中星体中心位于CCD像元之间任意位置的情况下,这些算法所能达到的精度作了详细的比较。仿真结果表明平方加权质心法和高斯曲面拟合法是比较好的星体细分定位算法,可依据应用的环境进行选择。
The characteristic of single star image was introduced. Some useful subdivision methods for improving the precision of star locating were expounded and analyzed. These methods were applied into star locating of simulative single star image, A detailed comparison was carried out for the precision of various subdivision methods when the star center of simulative single star image was located anywhere between the CCD pixels, The simulation results show that squared centroid and Gauss curve fitting methods are better, we can make a choice according to the condition of application.
出处
《计算机仿真》
CSCD
2006年第3期34-36,57,共4页
Computer Simulation
关键词
星图
细分算法
星敏感器
Star image
Subdivision method
Star sensor
