In a communication
system, noise has always been considered as a serious cause of error. Although
most common noises can be modeled by well-known Gaussian distributions, some
communication systems experience other types of noise. Power Line Communication
(PLC) is one of these systems which run on a difficult medium since it uses the
preexisting power line network for transmission. PLC experiences several
different types of human-made and natural noise which are mostly impulsive and
cannot be modeled simply by Gaussian. Different statistical models are used for
characterizing the impulsive noise of PLC systems in the literature. The
purpose of this study is to go over the impulsive noise models previously
presented in order to have a contribution to this hot topic. We point out the
similarities and differences of the models, namely Middleton Class A, Bernoulli
Gaussian and Alpha Stable statistical models. It is presented that all have
heavy tails which make them appropriate for impulsive noise. Although Middleton
Class A is more generic, Bernoulli Gaussian model is wide enough and can be
preferable because of its compact simple form especially when analytical
results are needed.
Alpha Stable distribution Bernoulli Gaussian distribution Impulsive Noise Middleton Class A distribution
Primary Language | English |
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Subjects | Electrical Engineering |
Journal Section | Araştırma Articlessi |
Authors | |
Publication Date | April 30, 2019 |
Published in Issue | Year 2019 Volume: 7 Issue: 2 |
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