• DocumentCode
    3145028
  • Title

    Qr-decomposition based adaptive notch filters

  • Author

    Shoaib, Mobien ; Alshebeili, Saleh

  • Author_Institution
    Dept. of Signal Process. & Acoust., Helsinki Univ. of Technol., Helsinki, Finland
  • fYear
    2009
  • fDate
    14-15 Dec. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Adaptive notch filters (ANF) are a special case of IIR adaptive filters that are able to track and cancel a time-varying sinusoid or a narrow band interference signal from a broad band signal. These filters update zeros and poles of the notch filters based on an objective function that minimizes the output signal energy. An ANF algorithm can only be used in practical applications if the underlying adaptive algorithm is inherently stable. QR-decomposition algorithms are known for their stability in finite precision environment. A QR-decomposition based adaptive notch filter is introduced and derived which is capable of estimating and canceling multiple narrow band interferers or sinusoids. The simulation results show that the convergence speed of the proposed method is equivalent to the recursive prediction-error (RPE) algorithm.
  • Keywords
    IIR filters; interference suppression; notch filters; parameter estimation; IIR adaptive filters; QR-decomposition algorithm; adaptive notch filters; broad band signal; convergence speed; narrow band interference estimation; narrow band interference signal; recursive prediction-error algorithm; time-varying sinusoid; Adaptive algorithm; Adaptive filters; Convergence; IIR filters; Interference cancellation; Narrowband; Poles and zeros; Prediction algorithms; Predictive models; Stability; Adaptive filters; QR-decomposition; infinite impulse response; parameter estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multitopic Conference, 2009. INMIC 2009. IEEE 13th International
  • Conference_Location
    Islamabad
  • Print_ISBN
    978-1-4244-4872-2
  • Electronic_ISBN
    978-1-4244-4873-9
  • Type

    conf

  • DOI
    10.1109/INMIC.2009.5383081
  • Filename
    5383081