基于LMS算法的分布式光纤测温系统中信号处理研究  

Research of Signal Processing in the Distributed Optical Fiber Temperature Measurement System Based on LMS Algorithm

作　　者：王慧[1] 崔连延[1] 

机构地区：[1]辽宁工业大学电气工程学院

出　　处：《电气自动化》2017年第1期113-115,共3页Electrical Automation

摘　　要：光纤测温技术已基本趋于成熟,但系统的测量精度还有待提高,所以分布式光纤测温系统的信号处理对系统具有极其重要的意义,也是近年来的研究热点。在分析了系统的信号特点后,提出采用自适应滤波算法对反斯托克斯信号进行去噪处理并进行MATLAB仿真,验证该算法的可行性性。还将该滤波算法的不同种类进行多种组合实现对拉曼散射信号的二次去噪处理,并比较几种不同的自适应滤波算法及其组合的仿真效果。Optical fiber temperature measurement technology has now become basically mature, but the measurement accuracy of the system remains to be improved. Therefore, signal processing in the distributed optical fiber temperature measurement system is very important to the system, and has been a hot research topic in recent years. After analyzing the characteristics of system signals, it proposes denosing of anti-Stokes signal through self-adaptive filtering algorithm and MATLAB simulation to verify the feasibility of the algorithm. Furthermore, different types of filtering algorithms are combined in different ways to realize secondary de-noising of Raman scattering signal, and simulation results of several self-adaptive filtering algorithms and their combinations are compared,

关 键 词：分布式光纤测温 拉曼散射 LMS自适应滤波算法 变步长 步长因子 信号处理 

分 类 号：TN911.7[电子电信—通信与信息系统]