Wideband compressive beamforming tomography for drive-by large-scale acoustic source mapping

Cagdas Tuna, Douglas L. Jones, Shengkui Zhao, Thi Ngoc Tho Nguyen

Research output: Contribution to journalArticlepeer-review

Abstract

Noise-mapping is an effective sound visualization tool for the identification of urban noise hotspots, which is crucial to taking targeted measures to tackle environmental noise pollution. This paper develops a high-resolution wideband acoustic source mapping methodology using a portable microphone array, where the joint localization and power spectrum estimation of individual sources sparsely distributed over a large region are achieved by tomographic imaging with the multi-frequency delay-and-sum beamforming power outputs from multiple array positions. Exploiting the fact that a wideband source has a common spatial signal-support across the frequency spectrum, two-dimensional tomographic maps are produced by applying compressive sensing techniques including group least absolute shrinkage selection operator formulation and sparse Bayesian learning to promote group sparsity over multiple frequency bands. The high-resolution mapping is demonstrated with experimental data recorded with a microphone array mounted atop an electric vehicle driven along a road while playing audio clips from a loudspeaker positioned within the adjacent open field.

Original languageEnglish (US)
Pages (from-to)3899-3911
Number of pages13
JournalJournal of the Acoustical Society of America
Volume143
Issue number6
DOIs
StatePublished - Jun 1 2018

ASJC Scopus subject areas

  • Arts and Humanities (miscellaneous)
  • Acoustics and Ultrasonics

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