On sparse beamformer design with reverberation

被引:3
|
作者
Li, Zhibao [1 ]
Yiu, Ma Fai Cedric [2 ]
Dai, Yu-Hong [3 ]
机构
[1] Cent S Univ, Sch Math & Stat, Changsha 410083, Hunan, Peoples R China
[2] Hong Kong Polytech Univ, Dept Appl Math, Kowloon, Hong Kong, Peoples R China
[3] Chinese Acad Sci, Acad Math & Syst Sci, Inst Computat Math & Sci Engn Comp, State Key Lab Sci & Engn Comp, Beijing 100190, Peoples R China
关键词
Sparse beamformer design; Reverberation; Nonconvex optimization; Smoothing approximation; Smoothing BB-gradient method; MULTIUSER MIMO SYSTEMS; SPEECH ACQUISITION; MICROPHONE ARRAYS; GRADIENT METHODS; BARZILAI; ALGORITHMS; RECONSTRUCTION; TRANSMISSION; OPTIMIZATION; MINIMIZATION;
D O I
10.1016/j.apm.2017.10.035
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Microphone array beamforming is one of the most important techniques to enhance the signal of interest from its observations corrupted by interference, noise and reverberation. In designing the beamformer to fulfill a desire performance, the transfer function governing sound propagation is required in the formulation. In general, the beamformer usually contains a number of FIR filters with long length behind each of microphone element, especially in reverberant environment. In order to reduce complexity, it is favourable to have many zero coefficients in the FIR filters. In this paper, we study this kind of sparse beam former design problem. We first describe the transfer function developed for reverberant environment. Then we develop an L-2 - L-i, minimization model with 0 < p < 1 for the design of sparse beamformers and introduce the smoothing Barzilai-Borwein (BB) step gradient method for solving the problem. Experimental results show that the designed beam formers achieve comparable performance with rather sparse filter coefficients. (C) 2017 Elsevier Inc. All rights reserved.
引用
收藏
页码:98 / 110
页数:13
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