[1]潘长玉.基于时频分析的移频轨道交通信号检测方法[J].机械与电子,2022,(01):71-75.
　PAN Changyu.Frequency-shift Rail Transit Signal Detection Method Based on Time-frequency Analysis[J].Machinery & Electronics,2022,(01):71-75.
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基于时频分析的移频轨道交通信号检测方法()

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机械与电子[ISSN:1001-2257/CN:52-1052/TH]

Title:: Frequency-shift Rail Transit Signal Detection Method Based on Time-frequency Analysis

Author(s):: PAN Changyu; ( Communication Signal Design Institute of China Railway First Survey and Design Institute Group Co. , Ltd. , Xi ’ an 710043 , China )

Keywords:: time-frequency analysis ; traffic signal ; frequency shift track ; detection method ; convolutional neural network

摘要:: 针对传统方法对交通信号检测时,由于未能提取交通信号的时频特征,导致信号检测时存在检测精度低、检测误差大和噪声频率不稳定等问题,提出基于时频分析的移频轨道交通信号检测方法。首先利用时频分析法对移频轨道交通信号的时频特征进行提取;再基于提取的信号时频特征,利用信号的概率密度函数获取交通信号的信号双谱;最后利用卷积神经网络分类处理有双谱的交通信号,实现信号检测。实验结果表明,该方法检测信号时,检测精度高、检测误差小,以及噪声频率稳定。

Abstract:: In view of the problems of low detection accuracy , large detection error and unstable noise frequency in the process of traffic signal detection due to the failure of traditional detection methods t extract the time-frequency characteristics of traffic signals , a frequency-shift rail transit signal detection method based on time-frequency analysis is proposed.Firstly , the time-frequency characteristics of frequency shift rail transit signal are extracted by time-frequency analysis method ; Then , based on the extracted time-frequency characteristics of the signal , the traffic signal bispectrum is obtained by using the probability density function of the signal ; Finally , the bispectrum of the traffic signalsare classified and processed by convolutional neural network to realize signal detection.The experimental results show that high detection accuracy , small detection error and stable noise frequency can be achieved through this detection method.

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备注/Memo:: 收稿日期: 2021-07-29
作者简介:潘长玉 ( 1980- ),男,吉林梅河口人,高级工程师,研究方向为铁路信号工程设计研发等。

更新日期/Last Update: 2022-03-02