Multiple snapshot compressive beamforming

Peter Gerstoft, Angeliki Xenaki, Christoph F. Mecklenbrauker, Erich Zochmann, Michael B. Matthews

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

Abstract

For sound fields observed on an array, compressive sensing (CS) reconstructs the multiple source signals at unknown directions-of-arrival (DOAs) using a sparsity constraint. The DOA estimation is posed as an underdetermined problem expressing the field at each sensor as a phase-lagged superposition of source amplitudes at all hypothetical DOAs. CS is applicable even for a single observation snapshot achieving a higher resolution than conventional beamforming. For multiple snapshots, CS outperforms conventional high-resolution methods, even with coherent arrivals and at low signal-to-noise ratio.
Original languageEnglish
Title of host publicationProceedings of 49th Asilomar Conference on Signals, Systems and Computers
PublisherIEEE
Publication date2015
Pages1774 - 1778
ISBN (Print)978-1-4673-8574-9
DOIs
Publication statusPublished - 2015
Event49th Asilomar Conference on Signals, Systems and Computers - Pacific Grove, CA, United States
Duration: 8 Nov 201511 Nov 2016

Conference

Conference49th Asilomar Conference on Signals, Systems and Computers
CountryUnited States
CityPacific Grove, CA
Period08/11/201511/11/2016

Cite this

Gerstoft, P., Xenaki, A., Mecklenbrauker, C. F., Zochmann, E., & Matthews, M. B. (2015). Multiple snapshot compressive beamforming. In Proceedings of 49th Asilomar Conference on Signals, Systems and Computers (pp. 1774 - 1778). IEEE. https://doi.org/10.1109/ACSSC.2015.7421456