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基于反射反斯托克斯拉曼散射的光纤分布式温度传感器中的新型自动校正方法。

Novel auto-correction method in a fiber-optic distributed-temperature sensor using reflected anti-Stokes Raman scattering.

作者信息

Hwang Dusun, Yoon Dong-Jin, Kwon Il-Bum, Seo Dae-Cheol, Chung Youngjoo

机构信息

Department of Information and Communications, School of Photon Science and Technology, Gwangju Institute of Science and Technology (GIST), Buk-gu, Gwangju 500-712, Korea.

出版信息

Opt Express. 2010 May 10;18(10):9747-54. doi: 10.1364/OE.18.009747.

Abstract

A novel method for auto-correction of fiber optic distributed temperature sensor using anti-Stokes Raman back-scattering and its reflected signal is presented. This method processes two parts of measured signal. One part is the normal back scattered anti-Stokes signal and the other part is the reflected signal which eliminate not only the effect of local losses due to the micro-bending or damages on fiber but also the differential attenuation. Because the beams of the same wavelength are used to cancel out the local variance in transmission medium there is no differential attenuation inherently. The auto correction concept was verified by the bending experiment on different bending points.

摘要

提出了一种利用反斯托克斯拉曼背向散射及其反射信号对光纤分布式温度传感器进行自动校正的新方法。该方法处理测量信号的两个部分。一部分是正常的背向散射反斯托克斯信号,另一部分是反射信号,它不仅消除了由于光纤微弯曲或损坏引起的局部损耗的影响,还消除了差分衰减。由于使用相同波长的光束来消除传输介质中的局部变化,因此本质上不存在差分衰减。通过在不同弯曲点的弯曲实验验证了自动校正概念。

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