Acoustic DoA estimation by one unsophisticated sensor

Dalia El Badawy, Ivan Dokmanić, Martin Vetterli

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We show how introducing known scattering can be used in direction of arrival estimation by a single sensor. We first present an analysis of the geometry of the underlying measurement space and show how it enables localizing white sources. Then, we extend the solution to more challenging non-white sources like speech by including a source model and considering convex relaxations with group sparsity penalties. We conclude with numerical simulations using an unsophisticated sensing device to validate the theory.

Original languageEnglish (US)
Title of host publicationLatent Variable Analysis and Signal Separation - 13th International Conference, LVA/ICA 2017, Proceedings
EditorsPetr Tichavsky, Massoud Babaie-Zadeh, Olivier J.J. Michel, Nadege Thirion-Moreau
PublisherSpringer-Verlag Berlin Heidelberg
Pages89-98
Number of pages10
ISBN (Print)9783319535463
DOIs
StatePublished - 2017
Event13th International Conference on Latent Variable Analysis and Signal Separation, LVA/ICA 2017 - Grenoble, France
Duration: Feb 21 2017Feb 23 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10169 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other13th International Conference on Latent Variable Analysis and Signal Separation, LVA/ICA 2017
CountryFrance
CityGrenoble
Period2/21/172/23/17

Keywords

  • Compressed sensing
  • Direction of arrival
  • Group sparsity
  • Monaural localization
  • Scattering
  • Sound source localization

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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