陈勐勐,王峰,张旭苹,卫开夏,顾书龙.POTDR振动传感系统的数据处理与分析方法[J].电子测量与仪器学报,2016,30(11):1671-1678
POTDR振动传感系统的数据处理与分析方法
Data processing and analysis method of POTDR vibration sensing system
  
DOI:10.13382/j.jemi.2016.11.007
中文关键词:  数据处理与分析  数字平均  小波降噪  傅里叶分析
英文关键词:data processing and analysis  digital average  wavelet noise reduction  Fourier analysis
基金项目:江苏省高校自然科学研究项目(16KJB510019,16KJB140008)、南京晓庄学院青年专项基金(2013NXY100,2015NXY034)资助项目
作者单位
陈勐勐 南京晓庄学院电子工程学院南京211171 
王峰 南京大学光通信工程研究中心南京210093 
张旭苹 南京大学光通信工程研究中心南京210093 
卫开夏 南京晓庄学院电子工程学院南京211171 
顾书龙 南京晓庄学院电子工程学院南京211171 
AuthorInstitution
Chen Mengmeng School of Electronic Engineering, Nanjing Xiaozhuang University, Nanjing 211171, China 
Wang Feng Institute of Optical Communication Engineering, Nanjing University, Nanjing 210093, China 
Zhang Xuping Institute of Optical Communication Engineering, Nanjing University, Nanjing 210093, China 
Wei Kaixia School of Electronic Engineering, Nanjing Xiaozhuang University, Nanjing 211171, China 
Gu Shulong School of Electronic Engineering, Nanjing Xiaozhuang University, Nanjing 211171, China 
摘要点击次数: 74
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中文摘要:
      偏振敏感光时域反射仪(POTDR)可用于检测光纤中背向传输瑞利散射信号里由振动引起的偏振态变化信息。立足于将基于偏振敏感光时域反射仪的全分布式振动传感器开发成一个便捷的测量仪器,研究了偏振敏感分布式振动光纤振动传感实验系统的数据处理与分析方法,重点研究了数字平均降噪和小波降噪以提高系统的响应实时性和信噪比。研究上述方法下系统的信噪比、响应时间、振幅分辨率、频率分辨率等参数所能达到的精度。研究结果表明使用时域波形平均的方法和小波降噪的方法均可大幅提高系统信噪比。系统实现了14 km的分布式振动传感,在1.26 s的时间响应下达到1 Hz的频率分辨率,系统信噪比达10 dB。
英文摘要:
      Polarization optical time domain reflectometer (POTDR) can be used to monitor the changing information of polarization state of the back Rayleigh scattering signal in fiber caused by vibration. In this paper, a convenient measuring instrument is developed by the distributed vibration sensor based on polarization optical time domain reflectometer. The data processing and analysis method of the vibration sensing system based on POTDR are studied, and the digital average noise reduction and the wavelet noise reduction are mainly studied in order to improve the real time performance and signal to noise ratio of the system. The signal to noise ratio, the response time and the frequency resolution of the system are researched. The research results show that the method of time domain waveform average and wavelet noise reduction can both significantly improve the system signal to noise ratio. In this system, a distance range of 14 km can be achieved with the frequency resolution of 1 Hz and the system response time of 1.26 s.
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