New Perspectives and Insights on Distortionless Microphone Array Beamforming

Fan Zhang, Jacob Benesty, Chao Pan, Jingdong Chen

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

Abstract

This paper studies distortionless beamforming within a general signal model, where a target source is accompanied by multiple interference sources and ambient noise. In this context, the minimum variance distortionless response (MVDR) and linearly constrained minimum variance (LCMV) beamformers are commonly used techniques. However, the MVDR beamformer lacks control over residual interference sources, while the LCMV beamformer may result in insufficient noise attenuation and, in some cases, even amplify ambient noise at its output. To provide a flexible mechanism for balancing ambient noise reduction and interference suppression, we introduce a novel optimization criterion, which leads to the development of a general distortionless beamformer that includes both the MVDR and LCMV methods as special cases. The effectiveness of our proposed approach is demonstrated through various performance metrics and beampatterns.

Original languageEnglish
Title of host publicationAPSIPA ASC 2024 - Asia Pacific Signal and Information Processing Association Annual Summit and Conference 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350367331
DOIs
StatePublished - 2024
Event2024 Asia Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2024 - Macau, China
Duration: 3 Dec 20246 Dec 2024

Publication series

NameAPSIPA ASC 2024 - Asia Pacific Signal and Information Processing Association Annual Summit and Conference 2024

Conference

Conference2024 Asia Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2024
Country/TerritoryChina
CityMacau
Period3/12/246/12/24

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