基于5G信号覆盖的铁路无线通信异常断点自动识别方法

为了提高铁路无线通信质量,需要进行铁路无线通信异常断点检测和自动识别,提出一种基于5G信号覆盖的铁路无线通信异常断点自动识别方法。构建铁路无线通信传输信道模型,采用集平均方法进行铁路无线通信的信道均衡设计,结合5G信号覆盖方法进行铁路无线通信的异常断点诊断控制,根据5G信号覆盖的铁路无线通信传输信号的包络幅值响应进行自适应检波处理,对5G信号覆盖下的铁路信号采用最小二乘准则建立断点自动识别模型,结合信号滤波和包络检波方法实现铁路无线通信异常断点自动识别。仿真结果表明,采用该方法进行铁路无线通信异常断点识别的自适应性能较好,信道均衡性较好,信号输出控制能力较强。

Automatic identification of abnormal breakpoints in railway wireless communication based on 5G signal coverage

In order to improve the quality of railway wireless communication,it is necessary to detect and identify the abnormal breakpoints of railway wireless communication.A method of automatic identification of abnormal breakpoints of railway wireless communication based on 5G signal coverage is proposed.The model of railway wireless communication transmission channel is constructed,and the channel equalization design of railway wireless communication is carried out by means of set average method,and the abnormal breakpoint diagnosis control of railway wireless communication is carried out by combining 5G signal coverage method.According to the envelope amplitude response of the railway wireless communication transmission signal covered by 5G signal,the self-adaptive detection process is carried out,and the breakpoint automatic identification model is established for the railway signal covered by the 5G signal using the least square criterion.Combined with signal filtering and envelope detection,the abnormal breakpoints of railway wireless communication can be identified automatically.The simulation results show that the proposed method has better adaptive performance,better channel equalization and better signal output control ability.