• DocumentCode
    2048685
  • Title

    On the Performance of Prefiltered Pisarenko Estimator for Narrow-Band Interference Suppression

  • Author

    Elasmi-Ksibi, Rim ; Besbes, LHichem ; Cherif, Sahar ; Jaïdane, Mériem

  • Author_Institution
    Unite de Rech. TECHTRA, SUPCOM
  • fYear
    2007
  • fDate
    24-27 Nov. 2007
  • Firstpage
    1467
  • Lastpage
    1470
  • Abstract
    In this paper, statistical analysis of the reformed Pisarenko harmonic decomposition frequency estimator, obtained by minimizing a normalized Least square cost function, is derived. This analysis shows the insufficiency of this estimator. To overcome this pitfall, we introduce a prefilter which has the role of preamplifying the narrow-band component and to approximate the overall system to an infinite impulse response (IIR) filter. This new design permits to take advantage of the ensured convergence obtained by using a finite impulse response notch filter and the high accuracy and selectivity achieved by an IIR filter. In particular, this structure presents good performance in low interference to signal ratio environment. Computer simulations are presented to support the proposed theoretical results.
  • Keywords
    FIR filters; IIR filters; frequency estimation; interference suppression; least squares approximations; IIR filter; Pisarenko harmonic decomposition frequency estimator; computer simulations; finite impulse response notch filter; infinite impulse response; interference to signal ratio environment; narrow-band interference suppression; normalized Least square cost function; prefiltered Pisarenko estimator; Convergence; Cost function; Finite impulse response filter; Frequency estimation; IIR filters; Interference suppression; Least squares approximation; Narrowband; Power harmonic filters; Statistical analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Communications, 2007. ICSPC 2007. IEEE International Conference on
  • Conference_Location
    Dubai
  • Print_ISBN
    978-1-4244-1235-8
  • Electronic_ISBN
    978-1-4244-1236-5
  • Type

    conf

  • DOI
    10.1109/ICSPC.2007.4728607
  • Filename
    4728607