Research on GNSS Satellite Clock Error Modeling by Considering Physical Factors
In recent years,real time precise point positioning (PPP) technique has become a hot topic in the field of satellite positioning.As for PPP,real time precise satellite coordinates and clock errors are indispensable.Among the products,final ephemeris cannot be available in real time; ultra-rapid ephemeris cannot meet the cm-level positioning accuracy requirements and the data stream of real time clock error correction service often has the problem of service interruption or incomplete information.Therefore,the research has important significance to forecast real time precise satellite clock error.At present,almost all the methods of satellite clock error modeling and forecasting are based on mathematic algorithm which use polynomial,grey model and neural network algorithm to establish mathematical model and don’t consider the effect of physical factors on satellite clock.However,frequency stability of satellite clock is influenced by acceleration of satellite and the instantaneous clock error is easily affected by these factors.In view of this,this paper puts forward a comprehensive consideration of satellite acceleration and final clock error products,using neural network to build a clock error prediction model.Experimental GNSS satellite clock error data processing results show that this method can improve the prediction accuracy of GNSS satellite clock error modeling and satisfy the demand of real time PPP.
GNSS Real time PPP Precise satellite clock error Modelling and forecasting
Tao Tingye Meng Xianwei Gao Fei Jiang Junru
School of Civil Engineering,Hefei University of Technology,193 Tunxi Road,230009,Hefei,China School of Information Science and Technology,University of Science and Technolgoy of China,Huangshan
国内会议
西安
英文
1-9
2015-05-13（万方平台首次上网日期，不代表论文的发表时间）