摘要
分布式光纤拉曼温度传感系统(DTS)可采用光纤拉曼散射效应测量温度,但由于光纤中产生的自发拉曼散射信号特别微弱,完全被淹没在噪声中,影响了系统的测温精度。针对存在的噪声问题,提出了将工程领域中广泛应用的小波变换用于系统的信号处理,并利用Matlab与VC进行联合编程的方法,将小波去噪实际地应用于系统中。实验结果表明该方法能够有效去除信号中的噪声,使系统的平均温度测量误差由3.1℃降低到1.1℃,进而可以提高系统的温度分辨率以及温度测量精度。
The distributed optical fiber Raman temperature sensor system （DTS） uses optical fiber Raman scattering effect to measure temperature. However, the spontaneous Raman scattering signals are particularly weak, completely submerge in the noise, and affect the system＇s temperature measurement accuracy. To solve this problem, this paper proposes to use wavelet transform, which has been widely used in engineering field, for signal processing. By using Matlab and VC combined programming, wavelet denoising is applied to the system actually. The results show that this method can eliminate signal noise effectively. The average error of the measured temperature is reduced from 3.1 ℃ to 1.1 ℃. And then, both the resolution and precision of the measured temperature of the system are improved
出处
《中国激光》
EI
CAS
CSCD
北大核心
2013年第6期220-224,共5页
Chinese Journal of Lasers
关键词
光纤光学
去噪
小波变换
拉曼散射
温度传感器
fiber optics
denoising
wavelet transform
Raman scattering
temperature sensor
