• DocumentCode
    2506648
  • Title

    On the consistency of the G-MUSIC DoA estimator

  • Author

    Vallet, P. ; Hachem, W. ; Loubaton, P. ; Mestre, X. ; Najim, J.

  • Author_Institution
    IGM, Marne-la-Vallée, France
  • fYear
    2011
  • fDate
    28-30 June 2011
  • Firstpage
    685
  • Lastpage
    688
  • Abstract
    Recently, a new subspace DoA estimation method (called "G-MUSIC") has been proposed, in the context where the number of available snapshots N is of the same order of magnitude than the number of sensors M. In this context, the traditional subspace methods tend to fail because the empirical covari-ance matrix of the observations is a poor estimate of the true covariance matrix. G-MUSIC is based on a new consistent estimator of the localization function in the regime where M and N tend to +∞ at the same rate. However, the consistency of the DoA estimator was not adressed. The purpose of this paper is to prove the consistency of the angles estimator in the previous asymptotic regime.
  • Keywords
    covariance matrices; direction-of-arrival estimation; signal classification; G-MUSIC DoA estimator; covariance matrix; subspace methods; Context; Direction of arrival estimation; Eigenvalues and eigenfunctions; Estimation; Manganese; Multiple signal classification; Noise; DoA estimation; MUSIC; Random matrices;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Statistical Signal Processing Workshop (SSP), 2011 IEEE
  • Conference_Location
    Nice
  • ISSN
    pending
  • Print_ISBN
    978-1-4577-0569-4
  • Type

    conf

  • DOI
    10.1109/SSP.2011.5967794
  • Filename
    5967794