Browse > Article

Performance Analysis of Maximum Zero-Error Probability Algorithm for Blind Equalization in Impulsive Noise Channels  

Kim, Nam-Yong (강원대학교 전자정보통신공학부)
Publication Information
Journal of Internet Computing and Services / v.11, no.5, 2010 , pp. 1-8 More about this Journal
Abstract
This paper presentsthe performance study of blind equalizer algorithms for impulsive-noise environments based on Gaussian kernel and constant modulus error(CME). Constant modulus algorithm(CMA) based on CME and mean squared error(MSE) criterion fails in impulsive noise environment. Correntropy blind method recently introduced for impulsive-noise resistance has shown in PAM system not very satisfying results. It is revealed in theoretical and simulation analysis that the maximization of zero-error probability based on CME(MZEP-CME) originally proposed for Gaussian noise environments produces superior performance in impulsive noise channels as well. Gaussian kernel of MZEP-CME has a strong effect of becoming insensitive to the large differences between the power of impulse-infected outputs and the constant modulus value.
Keywords
Impulsive noise; blind equalization; maximization of zero-error probability; constant modulus error; correntropy;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 L. M. Garth, "A dynamic convergence analysis of blind equalization algorithms", IEEE Trans. on Comm., Vol. 49, April. 2001, pp. 624-634   DOI   ScienceOn
2 F. Mazzenga, "Channel estimation and equalization for M-QAM transmission with a hidden pilot sequence", IEEE Trans. on Broadcasting, Vol. 46, June. 2000, pp. 170-176.   DOI   ScienceOn
3 K. Koike and H. Ogiwara, "Application of Turbo TCM codes for impulsive noise channel", IEICE Trans. Fundamentals, Vol. E81-A, Oct. 1998, pp. 2032-2039.
4 I. Santamaria, D. Erdogmus, and J. C. Principe, "Entropy Minimization for Supervised Digital Communications Channel Equalization, IEEE Trans. Signal Processing, Vol. 50, May, 2002, pp. 1184-1192.   DOI   ScienceOn
5 J. R. Treichler and B. Agee, "A new approach to multipath correction of constant modulus signals", IEEE Trans. Acoust., Speech, Signal Process. Vol. ASSP-31, Nov. 1983, pp. 349-372.
6 J.C. Principe, D. Xu and J. Fisher, Information Theoretic Learning, in: S. Haykin, Unsupervised Adaptive Filtering, Wiley, New York, Vol. I, 2000, pp. 265-319.
7 D. Erdogmus, and J.C. Principe, "An Entropy Minimization algorithm for Supervised Training of Nonlinear Systems", IEEE Trans. Signal Processing, Vol. 50, July, 2002, pp. 1780-1786.   DOI   ScienceOn
8 W. M. Moh, Y. Chen, "Multicasting flow control for hybrid wired/wireless ATM networks," Performance Evaluation, Vol. 40, Mar. 2000, pp. 161-194.   DOI   ScienceOn
9 Sedarat and K. Fisher, "Multicarrier communication in presence of biased- Gaussian noise sources", Signal Processing, Vol. 88, July 2008, pp. 1627-1635.   DOI   ScienceOn
10 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, June 1999, pp. 936-943.
11 I. Santamaria, P. P. Pokharel, and J. C. Principe, "Generalized correlation function: Definition, properties, and application to blind equalization", IEEE Trans. Signal Processing, Vol. 54, June 2006, pp. 2187-2197.   DOI
12 N. Kim, K. H. Jeong and L. Yang, "Maximization of Zero-Error Probability for Adaptive Channel Equalization", Journal of Communications and Netweorks, Feb. 2010, Accepted.   과학기술학회마을