• DocumentCode
    2212207
  • Title

    Super-exponentially convergent blind fractionally-spaced equalization and co-channel interference rejection

  • Author

    Schell, Stephan V. ; Shrimpton, Thomas E.

  • Author_Institution
    Schell Vector Signals Res., Yountville, CA, USA
  • Volume
    2
  • fYear
    1996
  • fDate
    21-24 Oct 1996
  • Firstpage
    607
  • Abstract
    The Super-Exponentially convergent Method (SEM) of Shalvi and Weinstein (1993) is extended here to adapt a fractionally spaced equalizer (FSE) instead of a symbol-spaced equalizer to recover man-made communication signals distorted by linear time-invariant systems. The extended SEM (ESEM) is applicable to PAM, QAM, PSK, and ASK signals having non-Gaussian symbol sequences received in additive WSS Gaussian noise. Unlike many other blind equalization methods (especially those that use only second-order statistics of cyclostationarity), it is shown analytically and via computer simulations that the ESEM can also reject partially spectrally overlapping co-channel interference
  • Keywords
    Gaussian noise; adaptive equalisers; amplitude shift keying; cochannel interference; convergence of numerical methods; filtering theory; interference suppression; phase shift keying; pulse amplitude modulation; quadrature amplitude modulation; ASK; PAM; PSK; QAM; additive WSS Gaussian noise; blind equalization; co-channel interference rejection; fractionally spaced equalizer; linear time-invariant systems; man-made communication signals; non-Gaussian symbol sequences; partially spectrally overlapping co-channel interference; super-exponentially convergent method; Additive noise; Amplitude shift keying; Blind equalizers; Computer simulation; Distortion; Gaussian noise; Interchannel interference; Phase shift keying; Quadrature amplitude modulation; Statistical analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Military Communications Conference, 1996. MILCOM '96, Conference Proceedings, IEEE
  • Conference_Location
    McLean, VA
  • Print_ISBN
    0-7803-3682-8
  • Type

    conf

  • DOI
    10.1109/MILCOM.1996.569417
  • Filename
    569417