分布式光纤测温系统温度数据的最佳解调方法

Optimal Method of Temperature Demodulation in Distributed Fiber Temperature Sensor Based on Raman Rejection

分布式光纤测温系统中喇曼散射光是极其微弱的 ,由滤光片检测出的斯托克斯光和反斯托克斯光分别经过光电变换以及放大后均淹没在噪声之中 .研究了混有高斯白噪声的双路数据的解调方法 ,求出了它的最佳分光比 ,可使测温数据的误差最小 .

Raman back-scattering of distributed fiber temperature sensor is very weak, stokes and anti-stokes are colored by noise after O/E convertion and amplifying. This paper presents the optimal method of temperature demodulation in distributed fiber temperature sensor based on Raman rejection, in which stokes and anti-stokes data are colored by gauss noise. An optimal split ratio is obtained which can minimize the error of temperature measurement.