基于小波变换和压缩感知的工频磁异常信号降噪方法  

Power Frequency Magnetic Anomaly Signals Denoising Method Based on Wavelet Transform and Compressive Sensing

作　　者：田斌[1] 赵晨 李俊 洪汉玉[1] TIAN Bin;ZHAO Chen;LI Jun;HONG Hanyu(School of Electrical Information,Wuhan Institute of Technology,Wuhan 430205,China)

机构地区：[1]武汉工程大学电气信息学院,湖北武汉430205

出　　处：《探测与控制学报》2024年第3期94-99,104,共7页Journal of Detection & Control

基　　金：国家自然科学基金项目(62171329)。

摘　　要：针对强噪声背景下水下目标微弱工频磁异常信号提取困难的问题,提出一种基于小波变换的压缩感知降噪方法。该方法利用噪声信号不具有稀疏性的特点,将含噪信号在小波域内分解,并在此基础上进行压缩感知的重构与降噪处理,实现微弱工频磁异常信号与噪声最大限度地分离。仿真及试验表明,该方法得到很好的降噪效果,避免了小波阈值滤波中阈值选取对降噪效果的影响,能够最大程度地保留原始信号的固有特征。Aiming at the difficulty in extracting weak power frequency magnetic anomaly signals of underwater targets in the strong noise background,a wavelet-based compressed sensing denoising method was proposed.This method took advantage of the fact that noise signals were not sparse,decomposed the noisy signals in the wavelet domain,and performed compressed sensing reconstruction and denoising on this basis,thereby achieving the maximum separation of the weak power frequency magnetic anomaly signals and noise.Simulation and experimental verification showed that this method not only achieved good denoising effect,but also avoided the influence of threshold selection on denoising effect in wavelet threshold filtering,and could retain the inherent characteristics of the original signal to the greatest extent.This method provided the possibility for accurate detection of power frequency magnetic anomalies of underwater targets.

关 键 词：降噪 压缩感知 小波 水下目标识别 工频磁场探测 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]