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http://dx.doi.org/10.7840/kics.2013.38A.1.26

Information Potential and Blind Algorithms Using a Biased Distribution of Random-Order Symbols  

Kim, Namyong (강원대학교 전자정보통신공학부)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.38A, no.1, 2013 , pp. 26-32 More about this Journal
Abstract
Blind algorithms based on Information potential of output samples and a set of symbols generated in random order at the receiver go through performance degradation when biased impulsive noise is added to the channel since the cost function composed of information potentials has no variable to deal with biased signal. Aiming at the robustness against biased impulsive noise, we propose, in this paper, a modified information potential, and derived related blind algorithms based on augmented filter structures and a set of random-order symbols. From the simulation results of blind equalization for multipath channels, the blind algorithm based on the proposed information potential produced superior convergence performance in the environments of strong biased impulsive noise.
Keywords
equalization; information; potential; biased; impulsive; random symbols; blind;
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Times Cited By KSCI : 1  (Citation Analysis)
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