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http://dx.doi.org/10.7840/KICS.2011.36C.8.516

Decision Feedback Equalizer based on Maximization of Zero-Error Probability  

Kim, Nam-Yong (강원대학교 공학대학 전자정보통신공학부)
Abstract
In this paper, a nonlinear algorithm that maximizes zero-error probability (MZEP) with decision feedback (DF) is proposed to counteract both of severely distorted multi-path fading effect and impulsive noise. The proposed MZEP-DF algorithm has shown the immunity to impulsive noise and the ability of the feedback filter section to cancel the remaining intersymbol interference as well. Compared with the linear MZEP algorithm, it yields above 10 dB enhancement of steady state MSE performance in severely distorted multipath fading channels with impulse noise where the least mean square (LMS) algorithm does not converge below -3dB of MSE.
Keywords
Zero-error probability; Decision Feedback; Impulsive noise; Gaussian kernel; ITL;
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Times Cited By KSCI : 1  (Citation Analysis)
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1 B. Aazhang and H. Poor, "Performance of DS/CDMA communications in impulsive channels-Part II: Hard-limiting correlation receivers," IEEE Trans. Comm., Vol.36, Jan. 1988, pp.88-97.   DOI   ScienceOn
2 S. Miyamoto, M. Katayama and N. Morinaga, "Receiver design using the dependence between quadrature components of impulsive radio noise," IEICE Trans. Comm., Vol.J77-B-II, Feb. 1994, pp.63-73.
3 N. Kim, K. Jeong, and L. Yang, "Maximization of zero-error probability for adaptive channel equalization," Journal of communications and networks, Vol.12, No.5, Oct. 2010. pp.459-465.   DOI   ScienceOn
4 D. Erdogmus, and J. Principe, "An Entropy Minimization algorithm for Supervised Training of Nonlinear Systems," IEEE Trans. Signal Processing, Vol.50, July, 2002, pp.1780-1786.   DOI   ScienceOn
5 J. Proakis, Digital Communications, McGraw -Hill, 2nd edition,1989.
6 K. Jeong, J. Xu, D. Erdogmus, and J. Principe, "A new classifier based on information theoretic learning with unlabeled data," Neural Networks, Vol.18, 2005, pp.719-726.   DOI   ScienceOn
7 J. Principe, D. Xu and J. Fisher, Information Theoretic Learning in : S. Haykin, Unsupervised Adaptive Filtering, Wiley, (New York, USA), 2000, pp.265-319.
8 M. Lazaro, I. Santamaria, D. Erdogmus, K. Hild II, C. Pantaleon and J. Principe, "Stochastic blind equalization based on pdf fitting using Parzen estimator", IEEE Trans. Signal Processing, Vol.53, No.2, Feb. 2005, pp.696-704.   DOI   ScienceOn
9 S. Haykin, Adaptive Filter Theory. Prentice Hall. 4-th edition, 2001.