基于小波包降噪与特征投影的Φ-OTDR振动定位

Vibration localization based on wavelet packet denoising and feature projection forΦ-OTDR

为建立通信光缆长度与地理位置数据库,提出一种基于小波包降噪与特征投影的相位敏感光时域反射仪(Φ-OTDR)振动定位算法。该算法利用Φ-OTDR进行光缆长度定位,有效应对实际光缆线路中的干扰信号问题。通过小波包分解信号并应用阈值法降噪,同时基于敲击振动信号的频率特性,选取特定小波包,以其能量为特征向量进行投影,有效解调振动信号并抑制干扰。测试结果表明:相较于其它算法,所提算法的复杂度低、性能优异,可成功应用于嵌入式设备,实现了对20 km光缆的精确敲击定位。

To establish a database of communication optical cable length and geographical location,a vibration localization algorithm for phase-sensitive optical time-domain reflectometer(Φ-OTDR)based on wavelet packet denoising and feature projection is proposed.This algorithm usesΦ-OTDR for optical cable length positioning,effectively addressing the issue of interference signals in actual optical cable lines.By decomposing signals with wavelet packets and applying threshold methods for denoising,specific wavelet packets are selected based on the frequency characteristics of tapping vibration signals,using their energy as feature vectors for projection,which effectively demodulates vibration signals and suppresses interference.Test results show that compared to other algorithms,the proposed algorithm has lower complexity and superior performance,successfully applied to embedded devices,achieving precise tapping localization for 20 km of optical cable.