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http://dx.doi.org/10.7840/KICS.2011.36B.10.1210

Adaptive Equalization using PDP Matching Algorithms for Underwater Communication Channels with Impulsive Noise  

Kim, Nam-Yong (강원대학교 공학대학 전자정보통신공학부)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.36, no.10B, 2011 , pp. 1210-1215 More about this Journal
Abstract
In this paper, a supervised adaptive equalization algorithm based on probability density function (PDF) matching method is introduced and its decision-feedback version is proposed for underwater communication channels with strong impulsive noise and severe multipath characteristics. The conventional least mean square (LMS) algorithm based on mean squared error (MSE) criterion has shown to be incapable of coping with impulsive noise and multipath effects commonly shown in underwater communications. The linear PDF matching algorithm, which shows immunity to impulsive noise, however, has revealed to yield unsatisfying performance under severe multipath environments with impulsive noise. On the other hand, the proposed nonlinear PDF matching algorithm with decision feedback proves in the simulation to possess superior robustness against impulsive noise and multipath characteristics of underwater communication channels.
Keywords
Impulsive noise; multipath; underwater communication channel; PDF matching algorithm; decision-feedback;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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