Haar小波和最小二乘法在光纤监测系统的应用  

Application of Haar wavelet and least square estimation to Fiber Monitoring Online System

作　　者：马少伟[1] 

机构地区：[1]北京交通大学网络管理中心,北京100044

出　　处：《铁路计算机应用》2007年第9期32-35,共4页Railway Computer Application

摘　　要：主要研究利用Haar小波变换对OTDR曲线进行事件分析。用Haar小波对基于OTDR卡的测试数据进行分解,对高频部分进行去噪提取奇异点,并在最小二乘法拟合的基础上,判断事件位置和类型并计算光纤监测系统所需要的参数。OTDR events analysis method based on Haar wavelet and least square estimation were mainly researched. The data was decomposed with the Haar wavelet, carried on threshold denoise to high frequency data, and the strange points were extracted, After this, with least square estimation the events could be accurately located and the reflection events and the nonreflection events couldbe clearly distinguished. The parameters required by Fiber Monitoring System were computed correctly.

关 键 词：光纤监测 小波变换 OTDR 事件分析 最小二乘法 

分 类 号：TN929[电子电信—通信与信息系统]