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HOS-based impulsive noise detection technique for power line communication systems

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5 Author(s)
Oliveira, T.R. ; Telecommun. & Signal Process. Lab., Fed. Univ. of Juiz de Fora, Juiz de Fora, Brazil ; Correia de Sá, P. ; de Paula Barbosa, S.L. ; Ribeiro, M.V.
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This paper discusses a detection technique for impulsive noise in power line cables. Essentially, a reduced set of features (signature vector), which is selectively extracted from the power line signal feeds a detection technique. The features are higher-order statistics and the Fisher's discriminant ratio is the selection technique. The designed detectors are a multilayer perceptron neural network and a Bayes implemented according the maximum likelihood criterium. Simulation results indicate that improved performance can be attained if multilayer perceptron neural network is considered as a nonlinear detector. Also, the results reveal that higher-order statistics is a very interesting technique to extract a reduced and representative signature vector of impulsive noise.

Published in:

Power Line Communications and Its Applications (ISPLC), 2010 IEEE International Symposium on

Date of Conference:

28-31 March 2010