基于小波变换的BOTDR系统温度特征快速提取

针对利用全光纤马赫一增德干涉仪布里渊光时域反射(BOTDR)分布式光纤温度传感系统测得的数据受噪声影响大的问题,提出用小波变换对传感系统的数据进行去噪处理快速提取温度特征,并针对测量信号的特点选择合适的小波函数。对传感系统的噪声进行了详细的分析,根据测量系统受光电检测器等噪声影响较大的情况选择了sym小波去除噪声并进行数据处理,信号处理结果表明: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选用的sym小波仍能将其中的温度信息提取出来。该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。...

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Bibliographic Details
Published in电测与仪表 Vol. 52; no. 1; pp. 19 - 23
Main Author 赵丽娟 李永倩
Format Journal Article
LanguageChinese
Published 华北电力大学电子与通信工程系,河北保定,071003 2015
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Summary:针对利用全光纤马赫一增德干涉仪布里渊光时域反射(BOTDR)分布式光纤温度传感系统测得的数据受噪声影响大的问题,提出用小波变换对传感系统的数据进行去噪处理快速提取温度特征,并针对测量信号的特点选择合适的小波函数。对传感系统的噪声进行了详细的分析,根据测量系统受光电检测器等噪声影响较大的情况选择了sym小波去除噪声并进行数据处理,信号处理结果表明: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选用的sym小波仍能将其中的温度信息提取出来。该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。
Bibliography:23-1202/TH
BOTDR, distributed optical fiber sensing, wavelet transform, temperature information
Zhao Lijuan, Li Yongqian (Department of Electronics & Communication Engineering, North China Electric Power University, Baoding 071003, Hebei, China)
In the system of Brillouin optical time domain reflectometer (BOTDR) that uses all-fiber Mach-Zehnder in- terferometer, measuring data are affected greatly by noise. For the problem, the method of wavelet analysis is put for- ward to remove the noise and quickly extract temperature feature, and suitable wavelet functions are selected according to the characteristics of measured signals. After careful analysis on the noise of the sensing system and considering the great influence of photoelectric detector noise on the measuring system, the sym wavelet is adopted to remove the noise and process data. Processing result shows that the adopted sym wavelet can extract the temperature information even when the information is totally submerged in the noise and cannot be obtained
ISSN:1001-1390