Research On Stochastic Model Of PPP Based On Atomic Clocks Noise

The paper summarizes several mathematical models in common use and the error correction model of precise point positioning and studied a series of problems in the process of data in precise point positioning. Based on analysis of the satellite clock difference in precise point positioning, the author improved the elevation stochastic model which commonly used now and added the satellite atomic clock noise to the stochastic model, so convergence speed of precise point positioning was accelerated. Finally, based on the above theory, the author developed a set of precise point positioning software. the specific research results are as follows:1.Firstly, the author summarized the basic principle of precise point positioning(PPP) systemly.The mathematical model commonly used in precise point positioning included without the non-ionospheric delay model, half pseudorange/carrier models, and uncombined model.Error correction model included the error related to the satellite, the error related to signal propagation and the error related to the receiver.2. The author studied a series of problems in the process of data processing in precise point positioning which included data preprocessing method, parameter estimation method, Kalman filtering model of precise point positioning which added ambiguity parameters, treatment method of problems cuased by the rise and fall of the satellite.3. The author analysed the features of the satellite atomic clock noise.On the basis of the conventional stochastic model, this paper put forward a new stochastic model of precise point positioning based on atomic clock noise.Through experimental analysis, the new stochastic model shorted the convergence time of precise point positioning. So it had certain practical value.4. On the theory above the author developed a set of precise point positioning software.In this paper, we made a detailed introduction of the main function of the software and introduced the basic static and dynamic calculation process using WHUN24hours data on March11,2014.