基于预测滤波的航天器GPS定位实时性处理方法

Real Time Processing Method in GPS Positioning of Spacecraft Based on the Predictive Filter

摘要:

对于航天器高动态定位，针对接收机处理耗时带来的非实时性现象，利用Kalman最优预测方法进行处理。首先建立了系统状态方程和量测方程，且在满足精度条件下对系统模型进行简化。仿真结果表明，该方法能有效减小高动态环境下定位非实时性带来的误差。

Abstract:

In case of the non-real time phenomena in high dynamic flight of GPS application, Kalman predictive filter is designed to process the positioning data so as to reach the real-time demands. According to this method, the state equation and measure equation