Robust G-MUSIC

Romain Couillet, Abla Kammoun

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

6 Scopus citations

Abstract

An improved MUSIC algorithm for direction-of-arrival estimation is introduced that accounts both for large array sizes N comparatively with the number of independent observations n and for the impulsiveness of the background environment (e.g., presence of outliers in the observations). This method derives from the spiked G-MUSIC algorithm proposed in [1] and from the recent works by one of the authors on the random matrix analysis of robust scatter matrix estimators [2]. The method is shown to be asymptotically consistent where classical approaches are not. This superiority is corroborated by simulations.

Original languageEnglish (US)
Title of host publication2014 Proceedings of the 22nd European Signal Processing Conference, EUSIPCO 2014
PublisherEuropean Signal Processing Conference, EUSIPCO
Pages2155-2159
Number of pages5
ISBN (Electronic)9780992862619
StatePublished - Nov 10 2014
Event22nd European Signal Processing Conference, EUSIPCO 2014 - Lisbon, Portugal
Duration: Sep 1 2014Sep 5 2014

Publication series

NameEuropean Signal Processing Conference
ISSN (Print)2219-5491

Other

Other22nd European Signal Processing Conference, EUSIPCO 2014
Country/TerritoryPortugal
CityLisbon
Period09/1/1409/5/14

Keywords

  • MUSIC
  • Random matrix theory
  • elliptical distribution
  • robust estimation

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering

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