BDS-3卫星钟差改正数短期预报方法研究

Research on short-time prediction method of BDS-3 satellite clock bias correction

针对RTS实时数据流产品在网络传输中存在的延迟以及数据中断等问题,文中结合BDS-3卫星钟差改正数的特点,分析实时数据流中BDS-3卫星钟差改正数的完整率和精度,提出一种基于一次差分和滑动时间窗口的残差修正钟差改正数短期预报模型。利用文中模型与一次多项式模型、基于一次差分的一次多项式模型和灰色模型进行BDS-3卫星钟差改正数预报精度的对比实验,结果表明,文中模型的预报精度最高,5 min、10 min、15 min和20 min的平均预报精度分别达到0.12 ns、0.14 ns、0.19 ns和0.20 ns,有效降低误差累积效应对预报精度的影响,对于RT-PPP的研究和应用具有重要的意义。

Aiming at the delay and data interruption of RTS real-time data stream products in network transmission,based on the characteristics of BDS-3 satellite clock bias correction,the integrity rate and accuracy of BDS-3 satellite clock bias correction in real-time data stream are analyzed in this paper,and a residual correction clock bias correction short-term prediction model based on a single difference and sliding time window is proposed.The prediction accuracy of BDS-3 satellite clock bias correction is compared with the linear polynomial model,the difference linear polynomial model and the grey model.The results show that the prediction accuracy of this model is the highest,and the average prediction accuracy of 5 min,10 min,15 min and 20 min reached 0.12 ns,0.14 ns,0.19 ns and 0.20 ns respectively.It effectively reduces the influence of error accumulation effect on the accuracy of prediction,which has important significance for the research and application of RT-PPP.