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

作　　者：祝刚[1] 魏可惠[1] 

机构地区：[1]中国工程物理研究院电子工程研究所,四川绵阳621900

出　　处：《信息与电子工程》2006年第1期40-44,共5页information and electronic engineering

基　　金：中国工程物理研究院国防预先研究基金(421010401-20);中物院电子工程研究所创新基金(S20050808)

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。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 are established and the system model is simplified within the permit of precision. Simulation results indicate that the method can reduce non-real time error caused by GPS application in high dynamic flight.

关 键 词：信息处理技术 实时性 预测滤波器 GPS 

分 类 号：P228.4[天文地球—大地测量学与测量工程]