A new blind equalization method based on negentropy minimization for constant modulus signals

Sooyong Choi, Jong Moon Chung, Wun Cheol Jeong

Research output: Contribution to journalArticle

Abstract

A new blind adaptive equalization method for constant modulus signals based on minimizing the approximate negentropy of the estimation error for a finite-length equalizer is presented. We consider the approximate negentropy using nonpolynomial expansions of the estimation error as a new performance criterion to improve the performance of a linear equalizer using the conventional constant modulus algorithm (CMA). Negentropy includes higher order statistical information and its minimization provides improved convergence, performance, and accuracy compared to traditional methods, such as the CMA, in terms of the bit error rate (BER). Also, the proposed equalizer shows faster convergence characteristics than the CMA equalizer and is more robust to nonlinear distortion than the CMA equalizer.

Original languageEnglish
Pages (from-to)1207-1210
Number of pages4
JournalIEICE Transactions on Communications
VolumeE91-B
Issue number4
DOIs
Publication statusPublished - 2008 Jan 1

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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