• DocumentCode
    1854255
  • Title

    A CLT for the G-MUSIC DoA estimator

  • Author

    Vallet, P. ; Mestre, X. ; Loubaton, P.

  • Author_Institution
    IGM, Marne-la-Vallée, France
  • fYear
    2012
  • fDate
    27-31 Aug. 2012
  • Firstpage
    2298
  • Lastpage
    2302
  • Abstract
    Subspace methods (e.g. MUSIC) are widely used in the context of DoA estimation using an array of M antennas. These methods perform well as long as the number of available samples N is much larger than M. However, their performance severely degrades when N is of the same order of magnitude than M. In this context, a DoA estimation method (called “G-MUSIC”), based on a new localization function estimate, was recently derived and shown to outperform the traditional methods for reasonable values of M, N. The consistency of both the localization function and DoA estimators was addressed in the asymptotic regime where M, N converge to infinity such that M /N converges to a positive constant. This paper addresses Central Limit Theorems for both the localization function and DoA estimators, in the previous asymptotic regime. Simulations confirm the validity of the results.
  • Keywords
    antenna arrays; direction-of-arrival estimation; music; statistical analysis; CLT; DoA estimation method; G-music; antenna array; asymptotic regime; central limit theorem; localization function estimation; subspace method; Context; Direction of arrival estimation; Eigenvalues and eigenfunctions; Estimation; Manganese; Multiple signal classification; Signal to noise ratio; CLT; DoA; MUSIC; Random Matrix Theory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Conference (EUSIPCO), 2012 Proceedings of the 20th European
  • Conference_Location
    Bucharest
  • ISSN
    2219-5491
  • Print_ISBN
    978-1-4673-1068-0
  • Type

    conf

  • Filename
    6334158