基于5G通信技术的轨道列车定位与跟踪算法  

A Localization and Tracking Algorithm for Rail Trains Based on 5G Communication Technology

作　　者：郝菊香 HAO Juxiang(School of Traffic and Transportation,Xi’an Traffic Engineering Institute,Xi’an 710300,China)

机构地区：[1]西安交通工程学院,交通运输学院,陕西西安710300

出　　处：《微型电脑应用》2024年第9期246-249,共4页Microcomputer Applications

摘　　要：实时精确定位与跟踪是列车运行控制系统中关键技术环节之一,工作在毫米波频段的5G通信具备小空间内多天线组合、米级定位精度等优势,已经成为轨道列车定位技术的主要发展方向之一。利用毫米波信道在不同域近似稀疏的特性,提出一种基于压缩感知的5G定位方法。该方法通过压缩感知来估计5G信号视距路径的到达时间、到达角度,并将其估计结果作为量测与基于扩展卡尔曼滤波器的非线性滤波算法相结合,以实现对列车位置的精确跟踪。列车场景仿真实验结果表明,该改进算法的定位误差小于3 m、跟踪速度误差小于2 m/s。Real-time,accurate localization and tracking is one of the key technologies in the train operation control system.The 5G communication working in millimeter wave band has the advantages of multi-antenna combination in small space and sub-meter level localization accuracy,which has become one of the main development directions of rail train positioning technology.In this paper,a 5G localization method using compressed sensing is proposed by exploiting the property that millimeter wave channels are approximately sparse in different domains.This method estimates the arrival time and arrival angle of the line-of-sight path of 5G signals through compressed sensing.These estimation results are combined with a nonlinear filtering algorithm based on the extended Kalman filter as measurements to achieve accurate tracking of train positions.The train scene simulation experiment results show that the positioning error of the proposed algorithm is less than 3 m and the tracking speed error is less than 2 m/s.

关 键 词：5G通信 位置估计 目标跟踪 压缩感知 

分 类 号：TN91[电子电信—通信与信息系统]