Optimizing the Position of Sensors for Characterizing Acoustic Fields

Samuel A. Verburg*, Filip Elvander, Toon van Waterschoot, Efren Fernandez-Grande

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

Characterizing acoustic fields over space is required in sound field analysis, spatial audio, as well as several applications within room acoustics and virtual reality. In order to measure a sound field over medium/large volumes, a large number of sensors have to be distributed over space. In this study we investigate optimal distributions of sensors for capturing acoustic fields in space. The positions are selected to maximize the sampled information and minimize the uncertainty in the reconstructed field. We show that the proposed optimization substantially reduces the amount of measurements in comparison to uniform or randomized distributions. The proposed optimal selection procedure can also be significant for other data-scarce applications.

Original languageEnglish
Title of host publicationProceedings of the 10th Convention of the European Acoustics Association Forum Acusticum 2023
PublisherEuropean Acoustics Association, EAA
Publication date2023
Pages1707-1713
ISBN (Electronic)9788888942674
DOIs
Publication statusPublished - 2023
Event10th Convention of the European Acoustics Association - Politecnico di Torino, Torino, Italy
Duration: 11 Sept 202315 Sept 2023
https://www.fa2023.org/

Conference

Conference10th Convention of the European Acoustics Association
LocationPolitecnico di Torino
Country/TerritoryItaly
CityTorino
Period11/09/202315/09/2023
Internet address
SeriesProceedings of Forum Acusticum
ISSN2221-3767

Bibliographical note

Publisher Copyright:
© 2023 Samuel A. Verburg et al. This is an open-access article distributed under the terms of the Creative Commons Attribution 3.0 Unported License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Keywords

  • Optimal sampling
  • Sensor selection
  • Sound field reconstruction

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