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文章摘要
基于小波变换的BOTDR系统温度特征快速提取
Temperature Information Quick Extraction of the BOTDRSystem based on Wavelet Transform
Received:January 04, 2014  Revised:March 21, 2014
DOI:
中文关键词: 布里渊光时渊反射  分布式光纤传感  小波变换  温度信息
英文关键词: BOTDR, distributed  optical fiber  sensing, wavelet  transform, temperature  information
基金项目:国家自然科学基金项目(面上项目,重点项目,重大项目)
Author NameAffiliationE-mail
ZHAO Li-juan* Department of Electronics and Communication Engineering,North China Electric Power University hdzlj@126.com 
LI Yong-qian Department of Electronics and Communication Engineering,North China Electric Power University  
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中文摘要:
      利用全光纤马赫-增德干涉仪搭建了基于自发布里渊光时域反射(BOTDR)的分布式光纤温度传感系统,获得了空间分辨率为20 m的温度测量信号。并对系统的噪声进行了分析,针对测量系统受光电检测器噪声影响较大的情况,提出小波变换对传感系统的数据进行去噪处理的方法,并针对测量信号的特点选择合适的小波函数。针对含噪信号的小波去噪分析表明:即使温度信息已经完全淹没在噪声中,直接方法已经无法获得温度信息时通过使用本文选用的sym小波仍能将其中的温度信息提取出来。本文方法能有效提高传感系统抵抗光电检测器引入噪声干扰的能力,较之叠加平均方法缩短了温度测量周期,提高了系统的实时性。
英文摘要:
      Employed the all-fiber Mach-Zehnder interferometer, a distributed optical fiber temperature sensing experiment system based on spontaneous Brillouin (BOTDR) was presented, and a temperature measurement signal with spatial resolution of 20 m was obtained. The system noise was analyzed and found that the measuring system is greatly influenced by the photoelectric detector noise. For improving the SNR (signal noise ratio), the method of wavelet analysis was brought to remove the noise of the system, and the suitable wavelet functions are selected. The result of wavelet denoising the noisy signal shows that, the sym wavelet can distill the temperature information even if it’s submerged in the noise. The method can improve the system’s ability of resistant to noise which introduced by photo detector effectively,and the measurement period is reduced comparing with the average method, which improved the real-time performance of the system.
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