Coherent source localization using vector sensor array

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Abstract

This paper addresses the problem of coherent/fully correlated source localization using vector sensor arrays. Initially, the Maximum Likelihood (ML) estimator for fully correlated source localization using vector sensor arrays is derived to solve the problem. In addition, 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 compared to the ML estimator and Cramer-Rao bound (CRB).

Original languageEnglish
Title of host publication22nd Convention of Electrical and Electronics Engineers in Israel, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages127-130
Number of pages4
ISBN (Electronic)0780376935
DOIs
StatePublished - 1 Jan 2002
Event22nd Convention of Electrical and Electronics Engineers in Israel - Tel-Aviv, Israel
Duration: 1 Dec 2002 → …

Publication series

NameIEEE Convention of Electrical and Electronics Engineers in Israel, Proceedings
Volume2002-January

Conference

Conference22nd Convention of Electrical and Electronics Engineers in Israel
Country/TerritoryIsrael
CityTel-Aviv
Period1/12/02 → …

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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