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ARIMA模型在卫星钟差预报中的应用
Application of ARIMA Model in Satellite Clock Error Forecasting
【摘要】 为提高GPS精密单点定位的精度(PPP),需要有高精度的卫星钟差预报。针对卫星钟差预报在卫星导航定位中的重要作用,利用时间序列模型与灰色模型对卫星钟差进行1 d和120 d的预报。结果表明,基于时间序列预报模型的预测精度优于灰色模型,更适用于实际应用,Rb钟的精度和稳定性优于Cs钟。
【Abstract】 To improve the precision of precise point positioning(PPP),the satellite clock erroe forecasting with high precision must be obtained and applied.With focus on the important role of the satellite clock error forecasting in precise point positioning,the time series theory and GM model were used to predict 1d and 120ds’ satellite clock error.The final results show that the forecasting accuracy of ARIMA model is better than that of GM model,so it is fitter to be used in practice,at the same time,the precision and stability of Rb clock are better than those of Cs clock.
【Key words】 time series; grey model; satellite clock error forecasting; precision analysis; atomic clock’s precision;
- 【文献出处】 水利与建筑工程学报 ,Journal of Water Resources and Architectural Engineering , 编辑部邮箱 ,2012年01期
- 【分类号】P228.4
- 【被引频次】22
- 【下载频次】215