• DocumentCode
    284702
  • Title

    A new fine-frequency estimation algorithm based on parabolic regression

  • Author

    McIntyre, C.M. ; Dermott, David A.

  • Author_Institution
    Defence Res. Establ. Atlantic, Dartmouth, NS, Canada
  • Volume
    2
  • fYear
    1992
  • fDate
    23-26 Mar 1992
  • Firstpage
    541
  • Abstract
    A simple fine-frequency estimation algorithm that makes use of power information only is described. The simplest methods that are currently used are based on finding the peak of the parabola that interpolates a local maximum value in the power spectrum together with the two adjacent power values. This method is based on performing a least-squares fit of a parabola with a fixed shape to the peak power value and the two adjacent values. The resulting closed-form, high-accuracy method yields estimates that are less biased than those provided by the interpolation formula, but with a simpler computation
  • Keywords
    estimation theory; least squares approximations; spectral analysis; closed form method; fine-frequency estimation algorithm; least-squares fit; parabolic regression; peak power value; power information; power spectrum; Fast Fourier transforms; Frequency estimation; Frequency response; Interpolation; Maximum likelihood estimation; Parameter estimation; Radar; Shape; Sonar navigation; Yield estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1992. ICASSP-92., 1992 IEEE International Conference on
  • Conference_Location
    San Francisco, CA
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-0532-9
  • Type

    conf

  • DOI
    10.1109/ICASSP.1992.226000
  • Filename
    226000