Copyright © 2008 The Institute of Electronics, Information and Communication Engineers
Regular Section -- Letters -- Wireless Communication Technologies |
A New Blind Equalization Method Based on Negentropy Minimization for Constant Modulus Signals
1 The authors are with the School of Electrical and Electronic Engineering, Yonsei University, 134 Shinchon-Dong, Seodaemun-Gu, Seoul, 120-749, Korea. E-mail: csyong{at}yonsei.ac.kr; jmc{at}yonsei.ac.kr, 2 The author is with the ETRI, Daejeon, 3-5-700, Korea. E-mail: wjeong{at}etri.re.kr
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.
Key Words: blind equalization, negentropy, information theoretic learning, constant modulus algorithm
Manuscript received January 10, 2007. Manuscript revised June 27, 2007.
Reference
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