• DocumentCode
    1352832
  • Title

    Comments on “Iterative Estimation of Sinusoidal Signal Parameters”

  • Author

    Babu, Prabhu ; Stoica, Petre

  • Author_Institution
    Dept. of Inf. Technol., Uppsala Univ., Uppsala, Sweden
  • Volume
    17
  • Issue
    12
  • fYear
    2010
  • Firstpage
    1022
  • Lastpage
    1023
  • Abstract
    In this note, we show that the iterative frequency estimation technique proposed in is nothing but an approximate Gauss-Newton (GN) algorithm for minimizing the standard nonlinear least squares fitting criterion. Starting from the complex sinusoidal data model used in , we derive the GN algorithm for frequency estimation and show that by approximating some steps in the GN algorithm we arrive at the estimator proposed in . We then numerically compare the performances of GN and approximate GN algorithms with that of zero padded FFT.
  • Keywords
    frequency estimation; iterative methods; least squares approximations; Gauss-Newton algorithm; iterative frequency estimation technique; nonlinear least squares fitting criterion; sinusoidal signal parameters; Approximation algorithms; Convergence; Frequency estimation; Least squares approximation; Minimization; FFT; Gauss–Newton (GN) algorithm; zero-padding;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/LSP.2010.2082526
  • Filename
    5604272