DocumentCode :
775629
Title :
Impulse noise mitigation based on computational intelligence for improved bit rate in PLC-DMT
Author :
Ribeiro, Moises V. ; Lopes, Renato Da R ; Romano, Joao Marcos T ; Duque, Carlos A.
Author_Institution :
Dept. of Commun., Univ. of Campinas, Brazil
Volume :
21
Issue :
1
fYear :
2006
Firstpage :
94
Lastpage :
101
Abstract :
This paper introduces a modified version of the discrete multi-tone transceiver (DMT) to increase the data rate in broadband power-line communications (PLC). Basically, a computational-intelligence technique trained by a second-order optimization method is applied to mitigate the high-power impulse noise, while the DMT copes with the severe intersymbol interference observed in power-line channels. The masking of the impulse noise enhances the signal-to-noise ratio in each DMT subchannel. As a result, a high number of bits can be allotted to each subchannel for a given error probability. The simulation results reveal that the proposed PLC-DMT solution outperforms, in terms of the data rate, traditional PLC-DMT over different environments, especially in the presence of additive high-power impulse noise.
Keywords :
carrier transmission on power lines; error statistics; impulse noise; intersymbol interference; optimisation; telecommunication channels; transceivers; computational intelligence technique; error probability; high-power impulse noise; impulse noise mitigation; intersymbol interference; power line channels; power line communication-discrete multitone transceiver; second-order optimization method; signal-to-noise ratio; Additive noise; Bit rate; Broadband communication; Computational intelligence; OFDM modulation; Optimization methods; Programmable control; Signal to noise ratio; Transceivers; Working environment noise; Communication systems; data communication; frequency-division multiplexing; impulse noise; multipath channels; neural networks; power system communication;
fLanguage :
English
Journal_Title :
Power Delivery, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8977
Type :
jour
DOI :
10.1109/TPWRD.2005.852271
Filename :
1564186
Link To Document :
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