基于信号强度的地铁CBTC系统干扰源定位  

Location of interference sources in subway CBTC system based on signal strength

作　　者：魏诗燕 沙泉 邹劲柏 WEI Shiyan;SHA Quan;ZOU Jinbai(School of Railway Transportation,Shanghai Institute of Technology,Shanghai 201418,China)

机构地区：[1]上海应用技术大学轨道交通学院,上海201418

出　　处：《应用技术学报》2023年第2期148-153,共6页Journal of Technology

基　　金：上海市科委地方能力建设项目(20090503100)资助。

摘　　要：城市轨道交通沿线的3G、4G等无线信号,对使用相邻频段2.4G的基于通信的列车运行控制(CBTC)的地铁车地通信系统的干扰越来越严重,为了对干扰源进行识别,CBTC系统干扰源的定位技术成为亟需被研究的问题。提出了一种基于粒子群优化的基于干扰信号强度(RSSI)的测距定位算法,可有效、快速地对干扰源进行定位。仿真结果表明,对运行速度不同的列车仿真时,该算法定位干扰源的精度不同,得出该算法对运行速度越低的列车干扰源定位精度越高的结论。The 3G,4G and other wireless signals along the urban rail transit are increasingly causing serious interference to the subway communication based train control(CBTC) train-to-ground communication system in the adjacent frequency band 2.4G.In order to identify the interference source,the location technology of the interference source of the CBTC system has become an urgent problem to be studied.An received signal strength indicator(RSSI) ranging and positioning algorithm based on particle swarm optimization was proposed,which could effectively and quickly locate the interference source.The simulation results showed that when simulating trains with different running speeds,the accuracy of the algorithm for locating interference sources was different.It is concluded that the algorithm has higher accuracy for locating interference sources of trains with lower operating speed.

关 键 词：基于通信的列车运行控制(CBTC) 干扰源定位 粒子群算法 基于干扰信号强度(RSSI)测距 

分 类 号：U231.7[交通运输工程—道路与铁道工程]