Beamforming With Small-Spacing Microphone Arrays Using Constrained/Generalized LASSO

Xianghui Wang; Jacob Benesty; Jingdong Chen; Israel Cohen

doi:10.1109/LSP.2020.2971790

Beamforming With Small-Spacing Microphone Arrays Using Constrained/Generalized LASSO

Xianghui Wang, Jacob Benesty, Jingdong Chen, Israel Cohen

Technion - Israel Institute of Technology

Research output: Contribution to journal › Article › peer-review

Abstract

In this letter, we develop an approach to the design of beamformers with small-spacing uniform linear microphone arrays by incorporating sparseness constraints for attenuating scattered interference incident from some pre-specified ranges of directions of arrival. The design process is formulated as a constrained LASSO problem. By adjusting the value of a tuning parameter, the proposed method can make compromises among three important yet conflicting (especially at low frequencies) performance measures of small-spacing microphone arrays, i.e., the directivity factor (DF), which quantifies the array spatial gain, the white noise gain (WNG), which evaluates the robustness of the beamformer, and the signal-to-interference-ratio (SIR) gain with respect to scattered interference. Simulation results illustrate the properties of the developed approach.

Original language	English
Article number	8984236
Pages (from-to)	356-360
Number of pages	5
Journal	IEEE Signal Processing Letters
Volume	27
DOIs	https://doi.org/10.1109/LSP.2020.2971790
State	Published - 2020

Keywords

Beamforming
LASSO
directivity factor
signal-to-scattered-interference-ratio gain
white noise gain

All Science Journal Classification (ASJC) codes

Signal Processing
Electrical and Electronic Engineering
Applied Mathematics

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10.1109/LSP.2020.2971790

Cite this

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title = "Beamforming With Small-Spacing Microphone Arrays Using Constrained/Generalized LASSO",

abstract = "In this letter, we develop an approach to the design of beamformers with small-spacing uniform linear microphone arrays by incorporating sparseness constraints for attenuating scattered interference incident from some pre-specified ranges of directions of arrival. The design process is formulated as a constrained LASSO problem. By adjusting the value of a tuning parameter, the proposed method can make compromises among three important yet conflicting (especially at low frequencies) performance measures of small-spacing microphone arrays, i.e., the directivity factor (DF), which quantifies the array spatial gain, the white noise gain (WNG), which evaluates the robustness of the beamformer, and the signal-to-interference-ratio (SIR) gain with respect to scattered interference. Simulation results illustrate the properties of the developed approach.",

keywords = "Beamforming, LASSO, directivity factor, signal-to-scattered-interference-ratio gain, white noise gain",

author = "Xianghui Wang and Jacob Benesty and Jingdong Chen and Israel Cohen",

note = "Publisher Copyright: {\textcopyright} 1994-2012 IEEE.",

year = "2020",

doi = "10.1109/LSP.2020.2971790",

language = "الإنجليزيّة",

volume = "27",

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TY - JOUR

T1 - Beamforming With Small-Spacing Microphone Arrays Using Constrained/Generalized LASSO

AU - Wang, Xianghui

AU - Benesty, Jacob

AU - Chen, Jingdong

AU - Cohen, Israel

PY - 2020

Y1 - 2020

N2 - In this letter, we develop an approach to the design of beamformers with small-spacing uniform linear microphone arrays by incorporating sparseness constraints for attenuating scattered interference incident from some pre-specified ranges of directions of arrival. The design process is formulated as a constrained LASSO problem. By adjusting the value of a tuning parameter, the proposed method can make compromises among three important yet conflicting (especially at low frequencies) performance measures of small-spacing microphone arrays, i.e., the directivity factor (DF), which quantifies the array spatial gain, the white noise gain (WNG), which evaluates the robustness of the beamformer, and the signal-to-interference-ratio (SIR) gain with respect to scattered interference. Simulation results illustrate the properties of the developed approach.

AB - In this letter, we develop an approach to the design of beamformers with small-spacing uniform linear microphone arrays by incorporating sparseness constraints for attenuating scattered interference incident from some pre-specified ranges of directions of arrival. The design process is formulated as a constrained LASSO problem. By adjusting the value of a tuning parameter, the proposed method can make compromises among three important yet conflicting (especially at low frequencies) performance measures of small-spacing microphone arrays, i.e., the directivity factor (DF), which quantifies the array spatial gain, the white noise gain (WNG), which evaluates the robustness of the beamformer, and the signal-to-interference-ratio (SIR) gain with respect to scattered interference. Simulation results illustrate the properties of the developed approach.

KW - Beamforming

KW - LASSO

KW - directivity factor

KW - signal-to-scattered-interference-ratio gain

KW - white noise gain

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U2 - 10.1109/LSP.2020.2971790

DO - 10.1109/LSP.2020.2971790

M3 - مقالة

SN - 1070-9908

VL - 27

SP - 356

EP - 360

JO - IEEE Signal Processing Letters

JF - IEEE Signal Processing Letters

M1 - 8984236

ER -

Beamforming With Small-Spacing Microphone Arrays Using Constrained/Generalized LASSO

Abstract

Keywords

All Science Journal Classification (ASJC) codes

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