Journal of Communications and Networks

The Korean Institute of Commucations and Information Sciences (한국통신학회)
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Euclidian Distance Minimization of Probability Density Functions for Blind Equalization

  • Kim, Nam-Yong (Dept. of Information & Communication Eng., Kangwon National University)
  • Received : 2009.03.04
  • Accepted : 2010.06.02
  • Published : 2010.10.31
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Abstract

Blind equalization techniques have been used in broadcast and multipoint communications. In this paper, two criteria of minimizing Euclidian distance between two probability density functions (PDFs) for adaptive blind equalizers are presented. For PDF calculation, Parzen window estimator is used. One criterion is to use a set of randomly generated desired symbols at the receiver so that PDF of the generated symbols matches that of the transmitted symbols. The second method is to use a set of Dirac delta functions in place of the PDF of the transmitted symbols. From the simulation results, the proposed methods significantly outperform the constant modulus algorithm in multipath channel environments.

Keywords

References

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