Distributed Rate-Constrained LCMV Beamforming

被引：16

作者：

Zhang, Jie ^{[1
]}

Koutrouvelis, Andreas, I ^{[1
]}

Heusdens, Richard ^{[1
]}

Hendriks, Richard C. ^{[1
]}

机构：

[1] Delft Univ Technol, Fac Elect Engn Math & Comp Sci, NL-2628 CD Delft, Netherlands

来源：

IEEE SIGNAL PROCESSING LETTERS | 2019年 / 26卷 / 05期

关键词：

Rate allocation; LCMV; noise reduction; energy usage; distributed beamforming; acoustic sensor networks; SPEECH ENHANCEMENT; NOISE-REDUCTION; SENSOR SELECTION;

D O I：

10.1109/LSP.2019.2905161

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this letter, we propose a decentralized framework for rate-distributed linearly constrained minimum variance (LCMV) beamforming in wireless acoustic sensor networks. To save the energy usage within the network, we propose to minimize the transmission cost and put a constraint on the noise reduction performance. Subsequently, we decentralize the obtained LCMV filter structure by exploiting an imposed block diagonal form of the noise correlation matrix. As a result, the beamformer weights are calculated in a decentralized fashion and each node can determine its quantization rate locally. Finally, numerical results validate the proposed method.

引用

页码：675 / 679

页数：5

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