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GPS Satellite Orbit Prediction at User End for Real-Time PPP System

机译:实时PPP系统在用户端的GPS卫星轨道预测

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摘要

This paper proposed the high-precision satellite orbit prediction process at the user end for the real-time precise point positioning (PPP) system. Firstly, the structure of a new real-time PPP system will be briefly introduced in the paper. Then, the generation of satellite initial parameters (IP) at the sever end will be discussed, which includes the satellite position, velocity, and the solar radiation pressure (SRP) parameters for each satellite. After that, the method for orbit prediction at the user end, with dynamic models including the Earth’s gravitational force, lunar gravitational force, solar gravitational force, and the SRP, are presented. For numerical integration, both the single-step Runge–Kutta and multi-step Adams–Bashforth–Moulton integrator methods are implemented. Then, the comparison between the predicted orbit and the international global navigation satellite system (GNSS) service (IGS) final products are carried out. The results show that the prediction accuracy can be maintained for several hours, and the average prediction error of the 31 satellites are 0.031, 0.032, and 0.033 m for the radial, along-track and cross-track directions over 12 h, respectively. Finally, the PPP in both static and kinematic modes are carried out to verify the accuracy of the predicted satellite orbit. The average root mean square error (RMSE) for the static PPP of the 32 globally distributed IGS stations are 0.012, 0.015, and 0.021 m for the north, east, and vertical directions, respectively; while the RMSE of the kinematic PPP with the predicted orbit are 0.031, 0.069, and 0.167 m in the north, east and vertical directions, respectively.
机译:本文提出了一种用于实时精确点定位(PPP)系统的用户端高精度卫星轨道预测方法。首先,将简要介绍一种新的实时PPP系统的结构。然后,将讨论服务器端的卫星初始参数(IP)的生成,其中包括每个卫星的卫星位置,速度和太阳辐射压力(SRP)参数。之后,提出了一种在用户端进行轨道预测的方法,其中包括地球引力,月球引力,太阳引力和SRP等动力学模型。对于数值积分,既可以执行单步Runge–Kutta方法,也可以执行多步Adams–Bashforth–Moulton积分方法。然后,对预测轨道与国际全球导航卫星系统(GNSS)服务(IGS)最终产品进行了比较。结果表明,在12 h内,31颗卫星的径向,沿轨和跨轨方向的平均预测误差分别为0.031 m,0.032 m和0.033 m。最后,在静态和运动模式下都进行了PPP,以验证预测卫星轨道的准确性。全球32个IGS站点的静态PPP的平均均方根误差(RMSE)在北,东和垂直方向分别为0.012、0.015和0.021 m。运动型PPP的预测轨道的RMSE在北,东和垂直方向分别为0.031、0.069和0.167 m。

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