Square contour algorithm for blind equalization of QAM signals

  • Authors:
  • Trasapong Thaiupathump;Lin He;Saleem A. Kassam

  • Affiliations:
  • Department of Computer Engineering, Chiang Mai University, Chiang Mai, Thailand;Department of Electrical and Systems Engineering, University of Pennsylvania, Philadelphia, PA;Department of Electrical and Systems Engineering, University of Pennsylvania, Philadelphia, PA

  • Venue:
  • Signal Processing - Special section: Distributed source coding
  • Year:
  • 2006

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Abstract

A new algorithm for blind equalization is introduced. The square contour algorithm (SCA) minimizes dispersion of equalizer output from a square. The SCA combines the advantages of the generalized Sato algorithm (GSA) and the constant modulus algorithm (CMA). It includes phase recovery and offers good convergence characteristics. By adding a constellation-matched error (CME) term to the cost function of the SCA, a modified SCA (MSCA) is obtained. The MSCA improves equalizer convergence performance. Simulations and analysis demonstrate the good performance of the proposed algorithms.