• DocumentCode
    3850182
  • Title

    A Method For Fine Resolution Frequency Estimation From Three DFT Samples

  • Author

    Çag˜atay Candan

  • Author_Institution
    Department of Electrical and Electronics Engineering, Middle East Technical University (METU), Ankara, Turkey
  • Volume
    18
  • Issue
    6
  • fYear
    2011
  • Firstpage
    351
  • Lastpage
    354
  • Abstract
    The parameter estimation of a complex exponential waveform observed under white noise is typically tackled in two stages. In the first stage, a coarse frequency estimate is found by the application of an N-point DFT to the input of length N . In the second stage, a fine search around the peak determined in the first stage is conducted. The method proposed in this paper presents a simpler alternative. The method suggests a nonlinear relation involving three DFT samples already calculated in the first stage to produce a real valued, fine resolution frequency estimate. The estimator approaches Jacobsen´s estimator for large N and presents a bias correction which is especially important for small and medium values of N .
  • Keywords
    "Discrete Fourier transforms","Signal to noise ratio","Frequency estimation","Jacobian matrices","Estimation","Radar signal processing"
  • Journal_Title
    IEEE Signal Processing Letters
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/LSP.2011.2136378
  • Filename
    5741829