Time series prediction of GPS receiver clock error based on wavelet analysis
Zengshan Tian · Digital Communication · 2013
For the clock stability of high-precision GPS(global positioning system) receiving system to its impact on performance,the conventional way is to ARMA(Auto Regressive Moving Average) series model,using the relevant features of the clock error to set the prediction model.Wavelet de-noise is used in this paper,for a group of clock data,to get smoother time series,then set the prediction model,and give the error analysis of the clock error denoising model.Simulations with real data show that the wavelet transform can effectively improve the accuracy of the GPS clock error prediction.