• DocumentCode
    1764979
  • Title

    Instantaneous Frequency Estimation of Multicomponent Nonstationary Signals Using Multiview Time-Frequency Distributions Based on the Adaptive Fractional Spectrogram

  • Author

    Khan, N.A. ; Boashash, Boualem

  • Author_Institution
    Dept. of Electr. Eng., Qatar Univ., Doha, Qatar
  • Volume
    20
  • Issue
    2
  • fYear
    2013
  • fDate
    Feb. 2013
  • Firstpage
    157
  • Lastpage
    160
  • Abstract
    This letter presents a novel algorithm to compute the instantaneous frequency (IF) of a multicomponent nonstationary signal using a combination of fractional spectrograms (FS). A high resolution time frequency distribution (TFD) is defined by combining FS computed using windows of varying lengths and chirp rates. The IF of individual signal components is then computed by applying a peak detection and component extraction procedure. The mean square error (MSE) of IF estimates computed with the AFS is lower than the MSE of IF estimates obtained from other TFDs for SNR varying from -5 dB to 16 dB.
  • Keywords
    frequency estimation; mean square error methods; signal detection; time-frequency analysis; FS; IF estimation; MSE; SNR; TFD; adaptive fractional spectrogram; component extraction procedure; instantaneous frequency estimation; mean square error; multicomponent nonstationary signal; multiview time-frequency distribution; noise figure -5 dB to 16 dB; peak signal detection; Chirp; Frequency modulation; Kernel; Signal resolution; Signal to noise ratio; Spectrogram; Time frequency analysis; Adaptive fractional spectrogram (AFS); instantaneous frequency (IF) estimation; multicomponent signals; multiview TFD; time-frequency analysis;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/LSP.2012.2236088
  • Filename
    6392206