刘庭凤,张荣芬,刘宇红.基于 FRFT-TFDR 的语音通信双绞线故障检测研究[J].电子测量与仪器学报,2023,37(4):204-212
基于 FRFT-TFDR 的语音通信双绞线故障检测研究
Research on fault detection of voice communication twisted pair based on FRFT-TFDR
  
DOI:
中文关键词:  分数阶傅里叶变换  时频域反射法  LFM 信号  故障检测  语音通信双绞线
英文关键词:fractional order Fourier transform  time-frequency domain reflectometry  LFM signal  fault detection  voice communication twisted pair
基金项目:贵州省科学技术基金项目(黔科合基础-ZK[2021]重点 001)资助
作者单位
刘庭凤 1. 贵州大学大数据与信息工程学院 
张荣芬 2. 贵州大学 
刘宇红 2. 贵州大学 
AuthorInstitution
Liu Tingfeng 1. College of Big Data and Information Engineering, Guizhou University 
Zhang Rongfen 2. Guizhou University 
Liu Yuhong 2. Guizhou University 
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中文摘要:
      语音通信双绞线故障点定位对断路、短路故障检测,以及防止机密信息窃听等具有重要意义。 在基于时域反射法 (TDR)和扩频时域反射法(SSTDR)的语音通信双绞线故障检测与定位中,由于双绞线的低频传输特性,反射信号衰减严重,无 法实现远距离故障点定位。 针对这一问题,提出了基于分数阶傅里叶变换的时频域反射法(FRFT-TFDR)。 首先使用线性调频 信号(LFM)作为检测信号,接着对接收信号加窗以提高信号的分辨力,然后进行分数阶傅里叶变换将接收信号变换到分数域, 最后通过分析入射信号和反射信号谱峰值在 u 域内的位置差,并将其转换到时域内,从而定位故障位置。 经实验验证,该方法 可有效定位出不同断路故障点,实测时在 1 557 m 处的定位误差小于 7%,满足语音通信双绞线远程故障检测需求。
英文摘要:
      To locate the fault point of twisted pair in voice communication is of great significance for the detection of open circuits, short circuit faults, and the prevention of eavesdropping on confidential information. In the fault detection and localization of voice communication twisted pair based on time domain reflectometry (TDR) and spread spectrum time domain reflectometry (SSTDR), due to the low-frequency transmission characteristics of twisted pair, the reflected signal is seriously attenuated, and long-distance fault point location cannot be realized. Given this problem, a time-frequency domain reflectometry ( FRFT-TFDR) based on fractional Fourier transform is proposed. First, the chirp signal (LFM) is used as the detection signal, the received signal is windowed to improve the resolution of the signal, then the fractional order Fourier transform is performed to transform the received signal into the fractional domain. Finally, the position difference of incident signal and reflected signal spectral peak in the u domain is analyzed and converted into the time domain, so that the location of errors can be determined. The experiment verifies that the method can effectively locate different circuit-breaking fault points, and its positioning error at 1 557 meters is less than 7%, meeting the requirement of remote fault detection of twisted pair in voice communication.
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