Robust superdirective beamformer with optimal regularization

Aviva Atkins, Yuval Ben-Hur, Israel Cohen, Jacob Benesty

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

Abstract

In this paper, we introduce an optimal beamformer design that facilitates a compromise between high directivity and low white noise amplification. The proposed beamformer involves a regularization factor, whose optimal value is determined using a simple and efficient one dimensional search algorithm. Simulation results demonstrate controlled tuning of various gain properties of the desired beamformer, and improved performance compared to a competing method.

Original languageEnglish
Title of host publication2016 International Workshop on Acoustic Signal Enhancement, IWAENC 2016
ISBN (Electronic)9781509020072
DOIs
StatePublished - 19 Oct 2016
Event15th International Workshop on Acoustic Signal Enhancement, IWAENC 2016 - Xi'an, China
Duration: 13 Sep 201616 Sep 2016

Publication series

Name2016 International Workshop on Acoustic Signal Enhancement, IWAENC 2016

Conference

Conference15th International Workshop on Acoustic Signal Enhancement, IWAENC 2016
Country/TerritoryChina
CityXi'an
Period13/09/1616/09/16

Keywords

  • Beamforming
  • Delayand-sum beamformer
  • Directivity factor
  • Microphone arrays
  • Robust superdirective beamformer
  • Superdirective beamformer
  • Supergain
  • White noise gain

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Acoustics and Ultrasonics

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