CONSTANT-BEAMWIDTH LINEARLY CONSTRAINED MINIMUM VARIANCE BEAMFORMER

Ariel Frank, Assaf Ben-Kish, Israel Cohen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper, we propose a new and flexible method for designing a constant-beamwidth beamformer that maintains directional constraints. We decompose the problem by designing a linearly constrained minimum variance beamformer and a constant-beamwidth beamformer based on the window technique. Subsequently, we utilize Kronecker product beamforming to merge the two elementary beamformers. While a competing method restricts the beamwidth depending on the interelement spacing and number of sensors in the array, the proposed method enables a flexible design of an arbitrary beamwidth. Experimental results demonstrate the improved performance of the proposed approach compared to the competing method. Specifically, the proposed beamformer achieves the desired beamwidth and directional constraints with a significantly higher directivity factor and lower sidelobe levels.

Original languageEnglish
Title of host publication30th European Signal Processing Conference, EUSIPCO 2022 - Proceedings
Pages50-54
Number of pages5
ISBN (Electronic)9789082797091
DOIs
StatePublished - 2022
Event30th European Signal Processing Conference, EUSIPCO 2022 - Belgrade, Serbia
Duration: 29 Aug 20222 Sep 2022

Publication series

NameEuropean Signal Processing Conference
Volume2022-August

Conference

Conference30th European Signal Processing Conference, EUSIPCO 2022
Country/TerritorySerbia
CityBelgrade
Period29/08/222/09/22

Keywords

  • Kronecker product
  • Linearly constrained minimum variance (LCMV) beamformer
  • broadband beamformer
  • constant-beamwidth beamformer
  • microphone array

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Electrical and Electronic Engineering

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