摘要
为了对星敏感器的软件开发以及自身性能进行地面测试,提出了一种动态的全天球星图模拟算法。该算法可以为星敏感器提供任一时刻,任一惯性坐标系指向下的模拟星图。提出了一种新的天区划分方法,采用分区检索的方法选取导航星,可以大大提高星模拟器星图更新频率。分析了星点成像模型,使得仿真出来的星图更接近真实情况。充分考虑了星云星团、月光、太阳光等干扰进入星敏感器视场的情况,并采用蒙特卡罗方法,让这些干扰情况随机出现在模拟星图中,可以更好的测试星敏感器软件的鲁棒性。
In order to realize the test of the software and the performance of star tracker on the ground, a simulation algorithm for dynamic and celestial sphere star image was proposed. This algorithm could provide simulation star image at any time and any inertial coordinate system. A new method of space district dividing was also presented. It can remarkably enhance the updating frequency simulation star image when using the proposed district dividing index method to select navigation stars. An analytical study of the star point spread models was introduced, and it can make the simulation image more close to the real situation. Some disturbances were taken into account when they appear in the field of view （FOV） of star tracker, such as star cluster, nebula and sunlight. In addition, the Monte Carlo method was adopted to simulate the disturbances happened randomly in the simulation star image, so that it could well test the robustness of the software of star tracker.
出处
《系统仿真学报》
CAS
CSCD
北大核心
2010年第A01期202-206,共5页
Journal of System Simulation
基金
航空科学基金资助项目(20080758003)
关键词
星敏感器
星图模拟
视场
分区检索
蒙特卡罗
Star tracker
Simulation star image
Field of view
District dividing
Monte Carlo
