A New Blind Equalization Method Based on Negentropy Minimization for Constant Modulus Signals

Sooyong CHOI  Jong-Moon CHUNG  Wun-Cheol JEONG  

Publication
IEICE TRANSACTIONS on Communications   Vol.E91-B   No.4   pp.1207-1210
Publication Date: 2008/04/01
Online ISSN: 1745-1345
DOI: 10.1093/ietcom/e91-b.4.1207
Print ISSN: 0916-8516
Type of Manuscript: LETTER
Category: Wireless Communication Technologies
Keyword: 
blind equalization,  negentropy,  information theoretic learning,  constant modulus algorithm,  

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Summary: 
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.