基于Unscented滤波的伴飞卫星自主相对导航滤波器

A Filtering Method for Flying Around Satellite Autonomous Relative Navigation Based on Unscented Kalman Filter

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。

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.