分布式光纤拉曼测温系统中解调算法的优化

Optimization of demodulation algorithm for the distributed optical fiber raman temperature measurement system

针对分布式光纤拉曼测温系统传统的温度解调算法进行了优化,提出了补偿光纤色散以及光纤损耗两种算法。通过重合处理补偿因反斯托克斯光与斯托克斯光信号的衰减速度不同而造成的温度解调误差;通过色散补偿算法对斯托克斯散射信号的位置进行修正,弥补因两束光的传播速度不同造成的测量误差,提高了系统的测温精度和定位精度。

The traditional temperature demodulation method of the distributed fiber Raman temperature measurement system had been optimized.New compensation methods for fiber loss and fiber dispersion are proposed.The temperature demodulation error caused by the different attenuation speed between stokes and anti-stokes scattering signals is compensated by the coincidence processing.The position of stokes backscattering signal is corrected by the compensation method for fiber dispersion,which compensated the measurement error caused by the different speed of two beams,and improved the accuracy of temperature measurement and position location.