基于SDW-MMSE的广义特征值稳健波束形成方法  

Generalized Eigenvalue Robust Beamforming Based on SDW-MMSE

作　　者：李海龙 杨飞[1,2] 杨诗童 路晓庆[1,2] LI Hailong;YANG Fei;YANG Shitong;LU Xiaoqing(School of Electrical Engineering and Automation,Wuhan University,Wuhan 430072,China;Hubei Key Laboratory of Power Equipment&System Security for Integrated Energy,Wuhan University,Wuhan 430072,China)

机构地区：[1]武汉大学电气与自动化学院,武汉430072 [2]武汉大学综合能源电力装备及系统安全湖北省重点实验室,武汉430072

出　　处：《数据采集与处理》2024年第3期649-658,共10页Journal of Data Acquisition and Processing

基　　金：国家自然科学基金(52377155)。

摘　　要：最大输出信噪比(Signal-to-noise ratio,SNR)准则下,广义特征值(Generalized eigenvalue,GEV)波束形成存在复系数难以控制的问题,在复杂的声学环境中容易导致输出信号严重失真。针对复系数估计问题,本文提出一种基于最小均方误差(Minimum mean square error,MMSE)的复系数估计方法,并通过引入语音失真权重因子(Speech distortion weight,SDW),调节降噪效果和语音失真之间的权重关系,进而提出了基于SDW-MMSE的广义特征值稳健波束形成方法。通过最大似然法估计目标信号和噪音信号的功率谱,进而求解主广义特征向量。进一步基于SDW-MMSE估计复系数,将复系数与主广义特征向量相结合,从而得到基于SDW-MMSE的广义特征值稳健波束形成滤波向量。仿真实验结果表明,本文提出的波束形成方法可有效消除相干噪声和非相干噪声,具有输出信噪比高、语音失真少等稳健性能。Under the criterion of maximum output signal-to-noise ratio(SNR),the problem of difficult control of complex-valued coefficients in generalized eigenvalue(GEV)beamforming is encountered,and severe distortion of the output signal can be caused in complex acoustic environments.To address the issue of complex-valued coefficient estimation,a complex-valued coefficient estimation method based on minimum mean square error(MMSE)is proposed in this paper.By introducing a speech distortion weight factor(SDW),the weight relationship between noise reduction and speech distortion is adjusted,thereby proposing a method for generalized eigenvalue robust beamforming based on SDW-MMSE.The power spectra of the target and noise signals are estimated using maximum likelihood method,and the main generalized eigenvectors are then determined.Furthermore,the complex-valued coefficients are estimated,and the complex coefficients are combined with the principal generalized eigenvector to obtain the generalized eigenvalue robust beamforming filter vector based on SDW-MMSE.Through simulation experiments,it is demonstrated that the proposed beamforming method effectively eliminates coherent and incoherent noise,and exhibits robust performance with high output SNR and low speech distortion.

关 键 词：语音增强 广义特征值波束形成 最小均方误差 语音失真权重 最大似然参数估计 

分 类 号：TN912.35[电子电信—通信与信息系统]