• DocumentCode
    2736680
  • Title

    Tracking characteristics of an adaptive IIR notch filter for sinusoidal frequency variation

  • Author

    Mvuma, Aloys ; Nishimura, Shotaro ; Hinamoto, Takao

  • Author_Institution
    Telecommun. Eng. Dept., Univ. of Dar es Salaam, Dar es Salaam
  • fYear
    2008
  • fDate
    10-13 Aug. 2008
  • Firstpage
    858
  • Lastpage
    861
  • Abstract
    Tracking behavior of a gradient-based simplified algorithm for an adaptive infinite impulse response (IIR) notch filter with a sinusoidally-varying input signal frequency is presented in this paper. A first-order difference equation with respect to a steady-state instantaneous frequency tracking error is derived. The difference equation is used to derive tracking error and tracking mean square error (MSE) expressions based on the power spectral density (PSD) method. Extensive computer simulations are included to substantiate the analysis and show its limits.
  • Keywords
    IIR filters; adaptive filters; difference equations; filtering theory; gradient methods; mean square error methods; notch filters; adaptive IIR notch filter; first-order difference equation; gradient-based simplified algorithm; infinite impulse response filter; mean square error; power spectral density method; sinusoidally-varying input signal frequency; steady-state instantaneous frequency tracking error; Adaptive filters; Algorithm design and analysis; Computer errors; Difference equations; Finite impulse response filter; Frequency; IIR filters; Mean square error methods; Radar tracking; Steady-state;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 2008. MWSCAS 2008. 51st Midwest Symposium on
  • Conference_Location
    Knoxville, TN
  • ISSN
    1548-3746
  • Print_ISBN
    978-1-4244-2166-4
  • Electronic_ISBN
    1548-3746
  • Type

    conf

  • DOI
    10.1109/MWSCAS.2008.4616935
  • Filename
    4616935