基于移动方差平均算法的相位敏感光时域反射计去噪算法研究  

Research on the denoising algorithm of phase sensitive optical time domain reflectometry based on the moving variance average algorithm

作　　者：管彦周 万生鹏[1,2] 程亚楠 万东辉 喻俊松 Guan Yanzhou;Wan Shengpeng;Cheng Yanan;Wan Donghui;Yu Junsong(Key Laboratory of Nondestructive Testing(Nanchang Hangkong University),Ministry of Education,Nanchang 330063,China;Key Laboratory of Opto-Electronic Information Science and Technology of Jiangxi Province,Nanchang HangkongUniversity,Nanchang330063,China)

机构地区：[1]南昌航空大学无损检测技术教育部重点实验室,南昌330063 [2]南昌航空大学江西省光电信息科学与技术重点实验,南昌330063

出　　处：《仪器仪表学报》2022年第10期233-240,共8页Chinese Journal of Scientific Instrument

基　　金：江西省自然科学基金重点项目(20202ACBL202002);国家自然科学基金(62105139,61465009)项目资助。

摘　　要：在相位敏感光时域反射计(φ-OTDR)系统中,扰动信号一般淹没在噪声中,导致扰动定位困难。为了提高扰动信号的信噪比,本文结合方差算法自身具有突出数据离散程度的特点,提出了一种移动方差平均算法。相比于累加平均、移动平均法、分离平均法、小波去噪、移动平均法+移动微分等传统算法,仿真和实验结果显示,移动方差平均算法具有更好的去噪效果,具有更高的信噪比(SNR)。因此,该算法可以用较少的累加采集次数实现扰动信号的定位,从而可以进一步提高φ-OTDR系统的响应频率,提升系统的实时性。In the phase sensitive time domain reflectometer(φ-OTDR)system,the disturbance signal is usually hidden in the noise,which makes it difficult to locate the disturbance.To improve the signal-to-noise ratio(SNR)of disturbed signals,this article proposes a moving variance averaging algorithm,which combines the characteristics of variance algorithm with outstanding data discreteness.Compared with traditional algorithms,such as cumulative average,moving average,separation average,wavelet denoising algorithm,moving average and moving differential,simulation and experimental results show that the moving variance averaging algorithm has better denoising effect and higher SNR.Therefore,the moving variance averaging algorithm can use fewer cumulative acquisition times to locate the disturbance signal,which can further improve the response frequency of theφ-OTDR system and improve the real-time performance of the system.

关 键 词：相位敏感光时域反射计 移动方差平均算法 定位 信噪比 

分 类 号：TN247[电子电信—物理电子学] TH86[机械工程—仪器科学与技术]