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基于Unscented滤波的伴飞卫星自主相对导航滤波器
引用本文:杨文博,李英渡,张小伟,施常勇,朱庆华.基于Unscented滤波的伴飞卫星自主相对导航滤波器[J].上海航天,2009,26(2):45-49.
作者姓名:杨文博  李英渡  张小伟  施常勇  朱庆华
作者单位:上海航天控制工程研究所,上海,200233
摘    要:为提高导航滤波器的稳定性和计算精度,根据卫星自主导航原理,构造了基于Unscented Kalman滤波(UKF)的伴飞卫星自主相对导航滤波器,建立了算法模型。仿真结果表明:UKF的滤波精度优于扩展Kalman滤波(EKF),且无需计算量测方程的Jacobi矩阵,计算量小、易于实现。

关 键 词:伴飞卫星  相对自主导航  Unscented  Kalman滤波  扩展Kalman滤波  滤波精度

A Filtering Method for Flying Around Satellite Autonomous Relative Navigation Based on Unscented Kalman Filter
YANG Wen-bo,LI Ying-bo,ZHANG Xiao-wei,SHI Chang-yong,ZHU Qing-hua.A Filtering Method for Flying Around Satellite Autonomous Relative Navigation Based on Unscented Kalman Filter[J].Aerospace Shanghai,2009,26(2):45-49.
Authors:YANG Wen-bo  LI Ying-bo  ZHANG Xiao-wei  SHI Chang-yong  ZHU Qing-hua
Institution:(Shanghai Aerospace Control Engineering Institute, Shanghai 200233, China)
Abstract:To improve the stability and computation precision of the navigation filter, the autonomous relative guidance filter for flying around satellites was constructed based on unscented Kalman filtering (UKF) according to the autonomous guidance for the satellite in this paper. The model was established. The simulation results showed that the guidance filter using UKF had higher accuracy than extended Kalman filter, in which it was no need to calculate the Jacohi matrix and so the computation was relative little and easy to be implemented.
Keywords:Flying around satellite  Autonomous relative navigation  Unscented Kalman filter  Extended Kalman filter  Filtering precision
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