Application of neural network in satellite clock bias short-term prediction
Yunlong Teng · Cehui kexue · 2011
Aiming at the characteristic of satellite clock bias,a prediction model based on artificial neural networks was presented for clock bias short-time prediction in the paper.The basic ideas,prediction models and steps of clock bias forecasting based on radial basis function(RBF) network were discussed respectively.The differences between neural network and other statistical prediction method,such as gray predicting model,were compared respectively.To validate the feasibility and validity of the proposed method,it made a careful precision analysis for satellite clock bias prediction with the performance parameters of GPS satellite clock,and made comparison and analysis with Grey system model and neural network model.The results of simulation showed that the prediction precision of the novel four-stage model based on wavelet analysis and artificial neural networks was more better,could afford high precise satellite clock bias prediction for real-time GPS precise point positioning.