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Type: Artigo de periódico
Title: An interconnected type-1 fuzzy algorithm for impulsive noise cancellation in multicarrier-based power line communication systems
Author: Ribeiro, MV
Duque, CA
Romano, JMT
Abstract: This paper introduces an interconnected type-1 fuzzy algorithm which is trained by a modified version of the Scaled Conjugated Gradient method for impulsive noise cancellation in discrete multitone/orthogonal frequency-division multiplexing (DMT/OFDM)-based systems for broadband power line communications. The advanced algorithm makes use of the fuzzy systems capacity of dealing with uncertainties to reduce the presence of high-power impulsive noises while the DMT/OFDM technique copes with the severe intersymbol interference observed in power line channels. As a result, for a given error probability, a high number of bits can be allotted to each subchannel due to the signal-to-noise ratio enhancements achieved by the proposed fuzzy algorithm. The simulation results show that the novel fuzzy algorithm not only achieve a high data rate, but it also outperforms the standard impulsive noises techniques and other computational intelligence-based techniques, especially in the presence of additive and high-power impulsive noises.
Subject: communication systems
data communication
frequency-division multiplexing
fuzzy systems
impulse noise
multipath channels
power system communication
Country: EUA
Editor: Ieee-inst Electrical Electronics Engineers Inc
Rights: fechado
Identifier DOI: 10.1109/JSAC.2006.874417
Date Issue: 2006
Appears in Collections:Unicamp - Artigos e Outros Documentos

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