• DocumentCode
    149501
  • Title

    Asymptotic analysis of a GLRT for detection with large sensor arrays

  • Author

    Hiltunen, S. ; Loubaton, P. ; Chevalier, P.

  • Author_Institution
    Commun. Security, AMS/TCP, Thales, Gennevilliers, France
  • fYear
    2014
  • fDate
    1-5 Sept. 2014
  • Firstpage
    2160
  • Lastpage
    2164
  • Abstract
    This paper addresses the performance analysis of two GLRT receivers in the case where the number of sensors M is of the same order of magnitude as the sample size N. In the asymptotic regime where M and N converge towards ∞ at the same rate, the corresponding asymptotic means and variances are characterized using large random matrix theory, and compared to the standard situation where N → +∞ and M is fixed. This asymptotic analysis allows to understand the behavior of the considered receivers, even for relatively small values of N and M.
  • Keywords
    array signal processing; matrix algebra; signal detection; statistical testing; GLRT asymptotic analysis; GLRT receiver performance analysis; generalized likelihood test; large random matrix theory; large sensor arrays; signal detection; Context; Covariance matrices; Gaussian distribution; Noise; Standards; Synchronization; Training; Multichannel detection; asymptotic analysis; large random matrices;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Conference (EUSIPCO), 2014 Proceedings of the 22nd European
  • Conference_Location
    Lisbon
  • Type

    conf

  • Filename
    6952772