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Blind Algorithms with Decision Feedback based on Zero-Error Probability for Constant Modulus Errors

  • 김남용 (강원대학교 공학대학 전자정보통신공학부) ;
  • 강성진 (한국기술대학교 전기전자통신공학부)
  • Received : 2011.10.29
  • Accepted : 2011.12.07
  • Published : 2011.12.30

Abstract

The constant modulus algorithm (CMA) widely used in blind equalization applications minimizes the averaged power of constant modulus error (CME) defined as the difference between an instant output power and a constant modulus. In this paper, a decision feedback version of the linear blind algorithm based on maximization of the zero-error probability for CME is proposed. The Gaussian kernel of the maximum zero-error criterion is analyzed to have the property to cut out excessive CMEs that may be induced from severely distorted channel characteristics. Decision feedback approach to the maximum zero-error criterion for CME is developed based on the characteristic that the Gaussian kernel suppresses the outliers and this prevents error propagation to some extent. Compared to the linear algorithm based on maximum zero-error probability for CME in the simulation of blind equalization environments, the proposed decision feedback version has superior performance enhancement particularly in cases of severe channel distortions.

Keywords

References

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