• DocumentCode
    2620064
  • Title

    An instantaneous frequency estimation method based on the improved sliding pair-wise ICI rule

  • Author

    Lerga, Jonatan ; Sucic, Victor

  • Author_Institution
    Dept. of Autom. & Electron., Univ. of Rijeka, Rijeka, Croatia
  • fYear
    2010
  • fDate
    10-13 May 2010
  • Firstpage
    161
  • Lastpage
    164
  • Abstract
    The performance of the recently proposed modification of the sliding pair-wise intersection of confidence intervals (SPICI) method for the instantaneous frequency (IF) estimation, based on the pseudo Wigner-Ville distribution (PWVD) with an adaptive window width, is analyzed on a noisy monocomponent nonlinear frequency modulated (FM) signal. The modified SPICI method is an extension of the original SPICI method with an additional threshold criterion combined with the amount of overlap between the current and the previous confidence interval relative to the current interval length. When compared to its original version, the modified SPICI approach results in up to 39% improvement in the IF estimation accuracy in terms of the mean absolute error (MAE), and up to 72% improvement in terms of the mean squared error (MSE).
  • Keywords
    Wigner distribution; adaptive signal processing; frequency estimation; frequency modulation; mean square error methods; MAE; MSE; adaptive signal processing; adaptive window width; improved sliding pair-wise ICI rule; instantaneous frequency estimation method; mean absolute error; mean squared error; modified SPICI method; noisy monocomponent nonlinear frequency modulated signal analysis; pseudo Wigner-Ville distribution; sliding pair-wise intersection of confidence interval method; threshold criterion; Adaptive signal processing; adaptive estimation; time-frequency analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Sciences Signal Processing and their Applications (ISSPA), 2010 10th International Conference on
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-1-4244-7165-2
  • Type

    conf

  • DOI
    10.1109/ISSPA.2010.5605552
  • Filename
    5605552