基于经验小波变换和奇异值分解的冲击波降噪方法  

Shockwave Noise Reduction Method Based on Empirical WaveletTransform and Singular Value Decomposition

作　　者：王彤洲 崔春生[1,2] 刘双峰 郭德月[1,2] 张健 WANG Tongzhou;CUI Chunsheng;LIU Shuangfeng;GUO Deyue;ZHANG Jian(State Key Laboratory of Dynamic Measurement Technology,North University of China,Taiyuan 030051,China;School of Electrical and Control Engineering,North University of China,Taiyuan 030051,China)

机构地区：[1]中北大学省部共建动态测试技术国家重点实验室,山西太原030051 [2]中北大学电气与控制工程学院,山西太原030051

出　　处：《探测与控制学报》2023年第2期67-72,共6页Journal of Detection & Control

摘　　要：针对爆炸场噪声源多、噪声特点各不相同的问题,提出基于经验小波变换(EWT)和奇异值分解(SVD)的冲击波降噪方法。该方法首先对冲击波信号进行指数拟合,用原始信号减去拟合后对应点的值,对上述信号使用EWT算法进行分解,随后对分解得到的分量采用SVD算法进行降噪重构,实现噪声的滤除。仿真及试验验证表明,基于EWT-SVD联合算法可有效抑制相位偏移,更好地还原出冲击波信号的超压峰值、上升沿时间,可用于冲击波信号的降噪。In view of that there are many noise sources and different noise characteristics in the explosion field,a shock wave noise reduction method based on empirical wavelet transform and singular value decomposition method was proposed.This method first performs exponential fitting of the shockwave signal,and subtracts the value of the corresponding point after fitting with the original signal.The above signal was decomposed by EWT algorithm,and then the decomposition of the components obtained by SVD algorithm was used to reduce noise and reconstruct to achieve noise filtering.Simulation and experimental verification showed that,based on the EWT-SVD joint algorithm,the phase offset could be effectively suppressed,and the overvoltage peak and rise edge time of the shock wave signal could be restored well.

关 键 词：冲击波超压测试 降噪 拟合 经验小波变换 奇异值分解 

分 类 号：O384[理学—流体力学]