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


Vol. 36,  No. 10, pp. 1210-1215, Oct.  2011


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  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.

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  Cite this article

[IEEE Style]

N. Kim, "Adaptive Equalization using PDF Matching Algorithms for Underwater Communication Channels with Impulsive Noise," The Journal of Korean Institute of Communications and Information Sciences, vol. 36, no. 10, pp. 1210-1215, 2011. DOI: .

[ACM Style]

Namyong Kim. 2011. Adaptive Equalization using PDF Matching Algorithms for Underwater Communication Channels with Impulsive Noise. The Journal of Korean Institute of Communications and Information Sciences, 36, 10, (2011), 1210-1215. DOI: .

[KICS Style]

Namyong Kim, "Adaptive Equalization using PDF Matching Algorithms for Underwater Communication Channels with Impulsive Noise," The Journal of Korean Institute of Communications and Information Sciences, vol. 36, no. 10, pp. 1210-1215, 10. 2011.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880