基于变分模态分解的地面磁共振谐波消噪方法  

Harmonic Noise Reduction Method for Surface MagneticResonance Based on Variational Mode Decomposition

作　　者：王琦[1] 刘钊闻 杜海龙[1] 玄玉波[1] 刁庶 WANG Qi;LIU Zhaowen;DU Hailong;XUAN Yubo;DIAO Shu(College of Communication Engineering,Jilin University,Changchun 130012,China;College of Instrumentation and Electrical Engineering,Jilin University,Changchun 130061,China;School of Control Engineering,Wuxi Institute of Technology,Wuxi 214121,Jiangsu Province,China)

机构地区：[1]吉林大学通信工程学院,长春130012 [2]吉林大学仪器科学与电气工程学院,长春130061 [3]无锡职业技术学院控制工程学院,江苏无锡214121

出　　处：《吉林大学学报(理学版)》2025年第2期559-566,共8页Journal of Jilin University:Science Edition

基　　金：吉林省教育厅科学技术研究项目(批准号:JJKH20221006KJ)。

摘　　要：针对地面磁共振信号非常弱,极易受电磁噪声干扰的问题,提出一种基于变分模态分解的地面磁共振谐波消噪方法.该方法采用基于改进变分模态分解的工频谐波消除方式,并根据频谱分析设定模态分量数与初始中心频率,解决了常规谐波建模消噪方法仅能处理单次采集数据而导致的运算效率慢等问题.实验结果表明,该方法在多基频或基频随时间变化等复杂噪声场景中,得到了良好的谐波分量估计效果,并可快速、有效地消除工频谐波干扰,大幅度提升了地面磁共振探测数据信噪比.Aiming at the problem of very weak surface magnetic resonance signals and susceptibility to electromagnetic noise interference,we proposed a harmonic noise reduction method for surface magnetic resonance based on variational mode decomposition.This method adopted an improved variational mode decomposition-based method for power frequency harmonic elimination,and set the mode number and initial center frequency according to spectral analysis,solving the problem of slow computational efficiency caused by conventional harmonic modeling denoising methods,which could only handle single-acquisition data.The experimental results show that the method achieves good effect of harmonic component estimation in complex noise scenarios such as multiple fundamental frequencies or fundamental frequency variations over time,and can quickly and effectively eliminate power frequency harmonic interference,significantly improving the signal-to-noise ratio of surface magnetic resonance detection data.

关 键 词：变分模态分解 地面磁共振 谐波干扰 基频变化 

分 类 号：TP631.2[自动化与计算机技术—控制理论与控制工程]