Coherent source localization using vector sensor arrays

D. Rahamim, R. Shavit, J. Tabrikian

Research output: Contribution to journalConference articlepeer-review

4 Scopus citations

Abstract

This paper addresses the problem of coherent/fully correlated source localization using vector sensor arrays. A novel method for "decorrelating" the incident signals is presented. The method is based on vector sensor smoothing (VSS) and enables the use of eigenstructure-based techniques, which require uncorrelated or partially correlated signals. The method is implemented as a preprocessing stage before applying eigenstructure-based techniques, such as MUSIC. The performance of the proposed VSS preprocessing combined with MUSIC is evaluated and it is shown that it asymptotically achieves the Cramer-Rao bound.

Original languageEnglish
Pages (from-to)141-144
Number of pages4
JournalProceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing
Volume5
StatePublished - 25 Sep 2003
Event2003 IEEE International Conference on Accoustics, Speech, and Signal Processing - Hong Kong, Hong Kong
Duration: 6 Apr 200310 Apr 2003

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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