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The Prediction of Geocentric Corrections during Communication Link Outages in PPP

机译:PPP中通信链路中断期间的地心校正预测

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摘要

The International GNSS Service (IGS) real-time service (RTS) provides access to real-time precise products. State-Space Representation (SSR) products are disseminated through the Internet using the Networked Transport of the RTCM (Radio Technical Commission for Maritime Services) via the Internet Protocol (NTRIP). However, communication outages caused by a loss of the communication link during ephemeris changes can occur. Unfortunately, any break in providing orbit and clock corrections affects the possibility to perform precise point positioning. To eliminate this problem, various methods have been developed and presented in the literature. The solution proposed by the authors is to directly predict geocentric corrections. This manuscript presents the results and analysis of geocentric correction predictions under two scenarios: the first between the IODE (issue of data ephemeris) value change and the second where prediction must be done for epochs containing a change in IODE ephemeris. In this case, the prediction uses data from a previous message. The Root Mean Square (RMS) values calculated based on the differences between the true correction values and the predicted geocentric corrections using a linear function, a second-degree polynomial and a constant value do not differ significantly. The numerical results show that, in most cases, maintaining the constant value of the last registered SSR correction is the best option.
机译:国际GNSS服务(IGS)实时服务(RTS)提供对实时精确产品的访问。状态空间表示(SSR)产品通过Internet协议(NTRIP)通过RTCM(海事无线电技术委员会)的网络传输,通过Internet进行传播。但是,在星历变化期间可能会发生由于通信链路丢失而导致的通信中断。不幸的是,提供轨道和时钟校正的任何中断都会影响执行精确点定位的可能性。为了消除这个问题,已经开发出各种方法并在文献中提出。作者提出的解决方案是直接预测地心校正。该手稿介绍了两种情况下的地心校正预测结果和分析:第一种是在IODE(数据星历的发布)值变化之间,第二种是必须对包含IODE星历的变化的历元进行预测。在这种情况下,预测使用来自先前消息的数据。基于真实校正值与使用线性函数,二阶多项式和常数的预测地心校正之间的差计算出的均方根(RMS)值没有显着差异。数值结果表明,在大多数情况下,保持最后一次注册SSR校正的恒定值是最佳选择。

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