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http://dx.doi.org/10.5762/KAIS.2011.12.5.2390

Communication Equalizer Algorithms with Decision Feedback based on Error Probability  

Kim, Nam-Yong (School of Electronics, Info. & Comm. Engineering, Kangwon National University)
Hwang, Young-Soo (School of Electronics, Info. & Comm. Engineering, Kwandong University.)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.12, no.5, 2011 , pp. 2390-2395 More about this Journal
Abstract
For intersymbol interference (ISI) compensation from communication channels with multi-path fading and impulsive noise, a decision feedback equalizer algorithm that minimizes Euclidean distance of error probability is proposed. The Euclidean distance of error probability is defined as the quadratic distance between the probability error signal and Dirac-delta function. By minimizing the distance with respect to equalizer weight based on decision feedback structures, the proposed decision feedback algorithm has shown to have significant effect of residual ISI cancellation on severe multipath channels as well as robustness against impulsive noise.
Keywords
Error probability; Decision feedback; Impulsive noise; Gaussian kernel; Multipath;
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Times Cited By KSCI : 2  (Citation Analysis)
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1 S. Haykin, Adaptive Filter Theory. Prentice Hall. 4th edition, 2001.
2 J. C. Principe, D. Xu and J. Fisher, Information Theoretic Learningin: S.Haykin, Unsupervised Adaptive Filtering, Wiley, (New York, USA), pp. 265-319, 2000.
3 K. H. Jeong, J. W. Xu, D. Erdogmus, and J. C. Principe, "A new classifier based on information theoretic learning with unlabeled data," Neural Networks, vol. 18, pp. 719-726, 2005.   DOI
4 N. Kim, K. H. Jeong, and L. Yang, "Maximization of zero-error probability for adaptive channel equalization," Journal of communications and networks, vol. 12, no. 5, pp. 459-465, Oct. 2010.   과학기술학회마을   DOI
5 J. G. Proakis, Digital Communications, McGraw-Hill, 2nd edition, 1989.
6 K. Koike and H. Ogiwara, "Application of Turbo TCM codes for impulsive noise channel," IEICE Trans. Fundamentals, vol. E81-A, pp. 2032-2039, Oct. 1998.
7 B. Aazhang and H. V. Poor, "Performance of DS/CDMA communications in impulsive channels-Part II: Hard-limiting correlation receivers," IEEE Trans. Comm., vol. 36, pp. 88-97, Jan. 1988.   DOI
8 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, pp. 63-73, Feb. 1994.
9 S. Unawong, S. Miyamoto, and N. Morinaga, "A novel receiver design for DS-CDMA systems under impulsive radio noise environments," IEICE Trans. Comm., Vol. E82-B, pp. 936-943, June 1999.
10 Faber, T. and Scholand, T. "Application of joint source-channel decoding to impulsive noise environments," Vehicular technology conference, VTC2004-Fall, Vol. 2. pp. 1238-1242, 2004.   DOI
11 S. J. Kang, N. Kim, "Quality Measurement Algorithm for IS-95 Reverse-link Signal," KAIS, vol. 11, no. 9, pp. 3428-3434, 2010.   과학기술학회마을   DOI
12 M. Richharia, Satellite communication systems: design principles, Technology&Engineering,1999.
13 M. Button, J. Gardiner, and I. A. Glover, "Measurement of the impulsive noise environment for satellite-mobile radio systems at 1.5 GHz," IEEE Trans.Vehicular Technology. vol. 51, no.3, pp. 551-560, May 2002.   DOI
14 J. Gomes, A. Silva, and S. Jesus, "Joint Passive Time Reversal and Multichannel Equalization for Underwater Communications," in OCEANS 2006, pp. 1-6.