On the Robustness of the Superdirective Beamformer

被引:31
作者
Chen, Xi [1 ,2 ]
Benesty, Jacob [3 ]
Huang, Gongping [4 ]
Chen, Jingdong [1 ,2 ]
机构
[1] Northwestern Polytech Univ, Ctr Intelligent Acoust & Immers Commun, Xian 710072, Shaanxi, Peoples R China
[2] Northwestern Polytech Univ, Shaanxi Key Lab Artificial Intelligence, Xian 710072, Shaanxi, Peoples R China
[3] Univ Quebec, INRS EMT, Montreal, PQ H5A 1K6, Canada
[4] Technion Israel Inst Technol, Andrew & Erna Viterby Fac Elect Engn, IL-3200003 Haifa, Israel
基金
以色列科学基金会; 美国国家科学基金会;
关键词
Robustness; Sensor arrays; Array signal processing; White noise; Speech processing; Acoustic distortion; Microphone arrays; superdirective beamformer; robustness; white noise gain; directivity factor; quadratic eigenvalue problem; IMPLEMENTATION; OPTIMIZATION;
D O I
10.1109/TASLP.2021.3053410
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
In microphone array beamforming, a high directional gain is always desired for acoustic noise and reverberation suppression; as a result, the superdirective beamformer has been of great interest in many applications. However, this beamformer is well known to be very sensitive to array imperfections. While much effort has been made to improve its robustness, it is still a major problem. This paper is essentially devoted to the study of the robustness of the superdirective beamformer and derivation of better ways to deal with this important issue. We first prove that any distortionless fixed beamformer can be written as the sum of two orthogonal beamformers, i.e., the sum of the classical delay-and-sum (DS) beamformer and a reduced-rank beamformer. Based on this property, different kinds of robust superdirective beamformers are then developed. We also show that the robust design problem can be transformed into a quadratic eigenvalue problem (QEP), which leads to a solution that achieves the maximum possible directivity factor (DF) while meets the white noise gain (WNG) constraint over a frequency band of interest.
引用
收藏
页码:838 / 849
页数:12
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