• DocumentCode
    821288
  • Title

    Operator approach to performance analysis of root-MUSIC and root-min-norm

  • Author

    Krim, Hamid ; Forster, Philippe ; Proakis, John G.

  • Author_Institution
    Lab. des Signaux & Syst., Gif-sur-Yvette, France
  • Volume
    40
  • Issue
    7
  • fYear
    1992
  • fDate
    7/1/1992 12:00:00 AM
  • Firstpage
    1687
  • Lastpage
    1696
  • Abstract
    The authors carry out a performance analysis of two eigenstructure-based direction-of-arrival estimation algorithms, using a series expansion of projection operators (or projectors) on the signal and noise subspaces. In the interest of algebraic simplicity, an operator formalism is utilized. A perturbation analysis is performed on the projectors, the results of which are used to determine the effect on the estimated parameters. The approach makes it possible to carry out the analysis to any chosen order of expansion of the projectors by using an original recurrence formula developed for the higher-order terms in the series expansion of the projectors. This method is used to study the root-MUSIC and root-min-norm algorithms and establish the superiority of root-MUSIC in all cases. The analysis has also resulted in insightful asymptotic expressions that describe the statistical behavior of the estimated angles and radii of the signal zeros
  • Keywords
    eigenvalues and eigenfunctions; parameter estimation; perturbation techniques; series (mathematics); signal processing; asymptotic expressions; eigenstructure-based direction-of-arrival estimation algorithms; estimated angles; noise subspace; operator formalism; original recurrence formula; performance analysis; perturbation analysis; projection operators; root-MUSIC algorithm; root-min-norm algorithms; series expansion; signal subspace; signal zeros radii; statistical behavior; Analysis of variance; Analytical models; Covariance matrix; Direction of arrival estimation; Eigenvalues and eigenfunctions; Multiple signal classification; Parameter estimation; Performance analysis; Signal analysis; Signal processing algorithms;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/78.143441
  • Filename
    143441