摘要
利用分级处理的方法实现了卫星星座的分布式自主导航。提出了将地球作为一颗参考星构造虚拟地心距的方法,并推导了虚拟地心距与其它测量值之间的噪声相关特性。以Walker星座为对象进行了仿真验证。仿真结果表明:分级处理的方法可以实现卫星星座的分布式自主导航,而利用所提出的构造虚拟地心距的方法可以有效地提高卫星的导航精度,减小误差逐级方法的影响,从而提高卫星和整个星座的导航精度。
Classification method has been used to deal with the distributed autonomous navigation of satellite constellation. A method was brought up to obtain the virtual distance of the earth center in this paper. And the noise correlation between the virtual distance and other measurements has been deducted. Walker constellations were targeted in a simulation. The simulation results showed that the distributed autonomous navigation of satellite constellation can be implemented by employing the classification method, and the virtual distance of the earth center from the method could effectively improve the accuracy of satellite navigation, reduce the impact of error. Then the accuracy of the entire constellation of navigation could be improved.
出处
《系统仿真学报》
CAS
CSCD
北大核心
2010年第A01期243-248,共6页
Journal of System Simulation
基金
国家自然科学基金青年科学基金项目(60704006)
关键词
自主导航
分级处理
虚拟地心距
噪声相关特性
Autonomous Navigation
Classification Method
Virtual Distance of the Earth Center
Noise Correlation
