Near-field acoustic imaging based on Laplacian sparsity

Efren Fernandez Grande, Laurent Daudet

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

Abstract

We present a sound source identification method for near-field acoustic imaging of extended sources. The methodology is based on a wave superposition method (or equivalent source method) that promotes solutions with sparse higher order spatial derivatives. Instead of promoting direct sparsity, as in standard compressive sensing or basis pursuit approaches, solutions with a piecewise constant gradient or curvature are promoted, suitable for modeling extended sources that are subject to smooth spatial variations. The obtained results are compared to Least Squares and Compressive Sensing solutions, and the validity of the wave extrapolation used for the reconstruction is examined. It is shown that this methodology can overcome conventional limits of spatial sampling, and is therefore valid for wide-band acoustic imaging of extended sources.
Original languageEnglish
Title of host publicationProceedings of the 22nd International Congress on Acoustics
Number of pages9
Publication date2016
ISBN (Print)978-1-5108-3173-5
Publication statusPublished - 2016
Event22nd International Congress on Acoustics : Acoustics for the 21st century - Catholic University of Argentina, Buenos Aires, Argentina
Duration: 5 Sep 20169 Sep 2016
http://ica2016.org.ar/

Conference

Conference22nd International Congress on Acoustics
LocationCatholic University of Argentina
CountryArgentina
CityBuenos Aires
Period05/09/201609/09/2016
Internet address

Keywords

  • Sound radiation
  • Acoustic array processing
  • Near-Field Acoustic Holography
  • Compressive sensing

Cite this

Fernandez Grande, E., & Daudet, L. (2016). Near-field acoustic imaging based on Laplacian sparsity. In Proceedings of the 22nd International Congress on Acoustics