基于5G同步信号的高速列车定位方法

通过特定无线电(NR)同步信号研究了5G网络中高速列车的定位问题,对3GPP指定的无线电信道模型路径损耗、阴影和快衰落效应进行了仿真;从波束成形的NR同步信号中测量到达时间(TOA)和出发角(AOD);根据给定的测量值和假设列车运动模型,使用扩展卡尔曼滤波器(EKF)对列车位置进行跟踪;结果表明,TOA测量(平均定位精度0.66 m)能够达到比AOD测量更好的精度,同时考虑两个测量值,可获得最佳跟踪性能;该方法可以在大部分跟踪时间内实现亚米级跟踪精度,从而达到了5G NR预期的定位精度要求.

High speed train positioning method based on 5G synchronous signal

The problem of high-speed train location in 5G network had been studied by using specific radio (NR) synchronization signal. The path loss, shadow and fast fading effects of 3GPP specified radio channel model are simulated. Time of Arrival (TOA) and Angle of Departure (AOD) are measured from the beam-forming NR synchronous signal. The extended Kalman filter (EKF) is used to track the train position according to the given measured values and the assumed train motion model. The results show that to measurement can achieve better accuracy than AOD measurement, and the best tracking performance can be obtained by considering two measurements at the same time. This method can achieve submicron tracking accuracy in most of the tracking time, thus achieving the expected positioning accuracy requirements of 5GNR.