基于拉曼散射的光纤分布式温度传感系统解调改进算法

Tao Xia, Jiangtao Guo, Xiaobing Li, Xin Mao
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引用次数: 3

摘要

介绍了一种改进的基于拉曼散射的光纤分布式温度传感系统解调算法。它将小波域去噪与迭代技术相结合,提高了原始数据的信噪比,并对传感光纤Stokes波长与反Stokes波长之间的衰减差进行了精细补偿。采用一根8 km的普通OM1光纤作为感温光纤,对解调后的原始温度数据进行小波域去噪处理,将光纤端温度分辨率从8.0°C提高到1.0°C,得到了最差的信噪比。此外,Stokes和反Stokes波长之间的衰减差异通过8次迭代得到了很好的补偿,并且在整个8公里的光纤上实现了0.1°C的温度分辨率。
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A modified demodulation algorithm for fiber-optic distributed temperature sensing system based on raman scattering
A modified demodulation algorithm in the fiber-optic distributed temperature sensing system base on Raman scatter is introduced. It is a combination of wavelet domain denoising and iteration technique which rises the signal to noise ratio(SNR) of the raw data and finely compensate the attenuation difference between Stokes and Anti-Stokes wavelength of the sensing fiber. A 8 km conventional OM1 fiber is used as the temperature sensing fiber and the raw data of demodulated temperature is processed by the wavelet domain denoising method, which enhanced the temperature resolution from 8.0 to 1.0°C in the fiber end, where we got the worst SNR. Further the attenuation difference between the Stokes and Anti-Stokes wavelength is finely compensated by a iteration of 8 times and a temperature resolution of 0.1°C is achieved on a whole fiber of 8 km.
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