Impulsive Noise Models Used in Power Line Communications
Künye
Çürük, S. M. (2019). Impulsive Noise Models Used in Power Line Communications. Balkan Journal of Electrical and Computer Engineering, 7(2), 115-122. https://doi.org/10.17694/bajece.457393Özet
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.