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http://dx.doi.org/10.7840/kics.2012.37A.12.1038

Distance Measure for Biased Probability Density Functions and Related Equalizer Algorithms for Non-Gaussian Noise  

Kim, Namyong (강원대학교 전자정보통신공학부)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.37A, no.12, 2012 , pp. 1038-1042 More about this Journal
Abstract
In this paper, a new distance measure for biased PDFs is proposed and a related equalizer algorithm is also derived for supervised adaptive equalization for multipath channels with impulsive and time-varying DC bias noise. From the simulation results in the non-Gaussian noise environments, the proposed algorithm has proven not only robust to impulsive noise but also to have the capability of cancelling time-varying DC bias noise effectively.
Keywords
Distance measure; Biased; Probability density function; DC bias; impulsive noise; Supervised equalization;
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Times Cited By KSCI : 1  (Citation Analysis)
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