A novel blind equalizer based on dual-mode MCMA and DD algorithm

  • Authors:
  • Seok Yoon;Sang Won Choi;Jumi Lee;Hyoungmoon Kwon;Iickho Song

  • Affiliations:
  • School of Information and Communication Engineering, Sungkyunkwan University, Suwon, Korea;Department of Electrical Engineering and Computer Science, Korea Advanced Institute of Science and Technology, Daejeon, Korea;Department of Electrical Engineering and Computer Science, Korea Advanced Institute of Science and Technology, Daejeon, Korea;Department of Electrical Engineering and Computer Science, Korea Advanced Institute of Science and Technology, Daejeon, Korea;Department of Electrical Engineering and Computer Science, Korea Advanced Institute of Science and Technology, Daejeon, Korea

  • Venue:
  • PCM'05 Proceedings of the 6th Pacific-Rim conference on Advances in Multimedia Information Processing - Volume Part II
  • Year:
  • 2005

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Abstract

We address a new blind equalizer incorporating both the good initial convergence characteristic of the dual-mode modified constant modulus algorithm (MCMA) and the low residual error characteristic after convergence of the decision-directed (DD) algorithm. In the proposed scheme, a convergence detector is employed to help switching from the dual-mode MCMA to the DD algorithm. We have observed that the proposed scheme exhibits a good overall performance in comparison with the CMA, MCMA, and dual-mode MCMA.