ARRAY GEOMETRY OPTIMIZATION FOR REGION-OF-INTEREST NEAR-FIELD BEAMFORMING

Ron Moisseev, Gal Itzhak, Israel Cohen

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

Abstract

Microphone array geometry plays a crucial role in array signal processing and beamforming. This paper presents an array geometry optimization approach for near-field beamforming. Considering a continuous region of interest, we aim to maximize the worst-case broadband directivity of the array while ensuring sufficiently high white noise gain. We use a near-field wave propagation analysis to formulate a convex optimization problem and find the optimal linear array topology. We evaluate the performance of the proposed approach for different desired signal directions and distances and compare our results to traditional beamformers. The optimized nonuniform geometry achieves better white noise gain and higher array directivity than standard uniform linear arrays. Furthermore, the proposed method can be used for near- and far-field sources.

Original languageEnglish
Title of host publication2024 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2024 - Proceedings
Pages576-580
Number of pages5
ISBN (Electronic)9798350344851
DOIs
StatePublished - 2024
Event49th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2024 - Seoul, Korea, Republic of
Duration: 14 Apr 202419 Apr 2024

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Conference

Conference49th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2024
Country/TerritoryKorea, Republic of
CitySeoul
Period14/04/2419/04/24

Keywords

  • Array signal processing
  • array geometry optimization
  • region-of-interest near-field beamforming

All Science Journal Classification (ASJC) codes

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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