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Convergence Characteristics of the Normalized Blind Equalization Algorithm

  • Lee, Gwang-Seok (Department of Electronic Engineering, Jinju National University)
  • Received : 2010.03.11
  • Accepted : 2010.03.27
  • Published : 2010.04.30

Abstract

We derived Stop-and-go normalized DD, dual-mode normalized Sato, dual-mode NCMA blind equalization algorithm for complex data in this research. And then, the convergence characteristics of the proposed SG-NDD, dual-mode NSato blind equalization algorithms are compared with those of SG-DD, dual-mode Sato algorithms. In general, the normalized blind equalization algorithms have better convergence characteristics than the conventional algorithms.

Keywords

References

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