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基于变分模态分解的自适应滤波降噪方法 被引量:11

An Adaptive Filtering Denoising Method Based on Variational Mode Decomposition
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摘要 为了提高分析信号的信噪比,本文提出了一种基于变分模态分解的变步长归一化最小均方自适应滤波降噪方法.该方法对原信号进行变分模态分解并区分信号分量和噪声分量,再对噪声分量进行间隙阈值降噪处理并将其作为参考信号输入自适应滤波器,通过自适应算法迭代处理得到降噪后的信号分量,并通过重构算法得到最终降噪后的信号.本文还在变分模态分解的基础上使用小波阈值降噪和间隙阈值降噪方法按不同方案进行降噪处理并得到最佳算法,将其与所提算法进行对比.实验结果表明,本文所提自适应滤波降噪方法的降噪效果比阈值降噪最佳方法效果更好. To improve the SNR of received signals,a normalized minimum mean square adaptive filtering denoising method based on variational mode decomposition using variable step-size was proposed.The proposed algorithm decomposed the original signal into several components labelled as noise or signal component.Then an interval threshold denoising method was exploited to denoise the noise component before inputted into an adaptive filter as a reference signal.All the rest signal components were used to reconstruct the final denoised signal after denoised by iterative adaptive filters.In addition,an optimal algorithm based on variational mode decomposition using wavelet threshold denoising and interval threshold denoising methods was exploited.Experimental results show that the proposed adaptive filtering denoising method outperforms the optimal algorithm using threshold denoising.
作者 吴龙文 聂雨亭 张宇鹏 何胜阳 赵雅琴 WU Long-wen;NIE Yu-ting;ZHANG Yu-peng;HE Sheng-yang;ZHAO Ya-qin(School of Electronics and Information Engineering,Harbin Institute of Technology,Harbin,Heilongjiang 150001,China;Beijing Research Institute,Huawei Technology Limited Company,Beijing 100095,China)
出处 《电子学报》 EI CAS CSCD 北大核心 2021年第8期1457-1465,共9页 Acta Electronica Sinica
基金 国家自然科学基金面上项目(No.61671185,No.62071153)。
关键词 变分模态分解 小波阈值 间隙阈值 自适应滤波 信号降噪 variational mode decomposition wavelet threshold interval threshold adaptive filtering signal denoising
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