城市轨道交通车-地通信无线指纹库的构建及应用
吴杰
Establishment and Application of Wireless Fingerprint Library for Urban Rail Transit Vehicle-wayside Communication
WU Jie
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作者信息:上海地铁维护保障有限公司通号分公司，200235，上海
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Affiliation:Telecom & Signal Branch, Shanghai Metro Maintenance Support Co., Ltd., 200235, Shanghai, China
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关键词:
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Key words:
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DOI:10.16037/j.1007-869x.2024.11.002
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中图分类号/CLCN:U231.7
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栏目/Col:研究报告
摘要:
［目的］目前，城市轨道交通车-地通信无线环境检测主要采用人工携带仪表进行测试的方式，工作量大，效率低。为了满足车-地通信无线环境监测的智能化、常态化需求，有必要构建城市轨道交通车-地通信无线指纹库，实现对车-地通信无线环境的实时监测。［方法］详细阐述了车-地通信无线指纹库的建立思路及流程。将地铁线路无线接收区域按照适当间隔划分成若干个网格。通过安装在地铁列车上无线监测设备，实时采集地铁线路在每个网格的车-地通信无线环境数据。利用不同编码方式，引入马氏距离，进行特征数据处理，提取每个网格的无线特征信息，并写入对应的网格区域，形成车-地通信无线指纹库；无线指纹库采用DeepFS（傅里叶序列深度模型）算法，可实现每个网格的无线特征数据自适应更新。结合实例介绍了城市轨道交通车-地通信无线指纹库的应用情况。［结果及结论］由实时监测数据和车-地通信无线指纹库中的无线指纹信息的对比，能及时发现车-地通信无线环境异常情况，从而有效提高城市轨道交通车-地通信无线环境的维护水平。
Abstracts:
［Objective］ Currently, wireless environment detection for urban rail transit vehicle-wayside communication primarily relies on manual testing with instruments, which is labor-intensive and inefficient. To meet the needs for intelligent and routine monitoring of the vehicle-wayside wireless communication environment, it is necessary to construct a wireless fingerprint library for this issue to enable the real-time monitoring. ［Method］ The conceptualization and process of establishing the wireless fingerprint library for vehicle-wayside communication is elaborated. The wireless reception areas of metro lines are divided into numerous grids at appropriate intervals. Wireless monitoring equipment installed on metro trains collects real-time data on the vehicle-wayside communication wireless environment for each grid. By employing various encoding methods and introducing Mahalanobis distance, the characteristic data are processed, the wireless feature information for each grid is extracted and then recorded into the corresponding grid area to form wireless fingerprint library. The library utilizes the DeepFS algorithm, enabling adaptive updates of the wireless feature data for each grid. The application of the wireless fingerprint library in urban rail transit vehicle-wayside communication is illustrated through specific examples. ［Result & Conclusion］ By comparing real-time monitoring data with the wireless fingerprint information in the library, abnormalities in the vehicle-wayside wireless communication environment can be promptly detected. This effectively enhances the maintenance level of urban rail transit vehicle-wayside wireless communication environment.
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