基于改进变分模态分解的Ф-OTDR信号去噪方法  

De-Noising Method of Ф-OTDR Signal Based on Improved Variational Mode Decomposition

作　　者：熊兴隆 冯磊 刘佳 马愈昭 XIONG Xinglong;FENG Lei;LIU Jia;MA Yuzhao(College of Electronic Information and Automation,Civil Aviation University of China,Tianjin 300300,CHN)

机构地区：[1]中国民航大学电子信息与自动化学院,天津300300

出　　处：《半导体光电》2020年第3期400-405,共6页Semiconductor Optoelectronics

基　　金：国家自然科学基金项目(U1833111);中央高校基本科研业务费项目中国民航大学专项项目(3122018D001).

摘　　要：针对相位敏感光时域反射仪(Ф-OTDR)信号信噪比过低的问题,提出了一种基于改进变分模态分解(VMD)结合独立成分分析(ICA)的去噪方法。首先,采用模拟退火方法(SA)对VMD进行优化;然后,采用SA-VMD将预处理后的Ф-OTDR信号分解成一系列本征模态分量(IMF),并根据相关准则选取IMF分量进行虚拟噪声重构;最后,将原始信号与虚拟噪声作为ICA的输入,去除信号中的噪声,提高信号信噪比。采用自行设计的相干Ф-OTDR系统进行实验验证,结果表明,该方法能够有效去除噪声,与EMD-ICA和SA-VMD方法相比,信噪比提高了4dB,这对系统的实际应用具有重要意义。Aiming at the problem of low SNR of phase-sensitive optical time domain reflectometer(Ф-OTDR),a de-noising method based on improved variational mode decomposition(VMD)and independent component analysis(ICA)is proposed.First,the simulated annealing method(SA)was used to optimize the VMD.Then,SA-VMD was used to decompose the pre-processedФ-OTDR signal into a series of intrinsic mode function(IMF)components,and IMF components were selected for virtual noise reconstruction according to relevant criteria.Finally,the original signal and virtual noise were used as the input of ICA to remove noise and improve the SNR of the signal.Experiments were carried out to verify the proposed method on self-designed coherentФ-OTDR system,and the results show that the method can effectively remove noise.Compared with the SA-VMD and EMD-ICA methods,the SNR is improved by 4 dB,which is of great significance to the practical application of the system.

关 键 词：Ф-OTDR 模拟退火算法 变分模态分解 独立成分分析 信噪比 

分 类 号：TN253[电子电信—物理电子学]