Direction-of-arrival estimation using acoustic vector sensors in the presence of noise

Dovid Levin, Sharon Gannot, Emanuël A.P. Habets

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

36 Scopus citations

Abstract

A vector-sensor consisting of a monopole sensor collocated with orthogonally oriented dipole sensors can be used for direction-of-arrival (DOA) estimation. A method is proposed to estimate the DOA based on the direction of maximum power. Algorithms mentioned in earlier works are shown to be special cases of the proposed method. An iterative algorithm based on the principal of gradient ascent is presented for the solution of the maximum power problem. The proposed maximum-power method is shown to approach the Cramér-Rao lower bound (CRLB) with a suitable choice of parameter.

Original languageEnglish
Title of host publication2011 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 - Proceedings
Pages105-108
Number of pages4
DOIs
StatePublished - 2011
Event36th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 - Prague, Czech Republic
Duration: 22 May 201127 May 2011

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN (Print)1520-6149

Conference

Conference36th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011
Country/TerritoryCzech Republic
CityPrague
Period22/05/1127/05/11

Keywords

  • Cramér-Rao lower bound
  • DOA estimation
  • acoustic vector-sensors
  • angular error

Fingerprint

Dive into the research topics of 'Direction-of-arrival estimation using acoustic vector sensors in the presence of noise'. Together they form a unique fingerprint.

Cite this