Power-line communications channel estimation and tracking by a competitive neural network

In this paper, a decision-directed method is proposed for channel estimation and equalization in power-line communication (PLC) based on orthogonal frequency-division multiplexing (OFDM). In the DDE (decision-directed estimation) method proposed, the received subcarrier-symbols are presented to a co...

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Bibliographic Details
Published in:IEEE transactions on consumer electronics 2006-11, Vol.52 (4), p.1213-1219
Main Authors: Raugi, M., Tucci, M.
Format: Article
Language:English
Subjects:
Amplitude estimation
Channel estimation
Channels
Communication channels
Computer simulation
Decision feedback equalizers
Electronics
Equalization
Frequency division multiplexing
Multiplexing
Neural networks
OFDM
Phase estimation
Programmable control
Quadrature amplitude modulation
Tracking
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Summary:In this paper, a decision-directed method is proposed for channel estimation and equalization in power-line communication (PLC) based on orthogonal frequency-division multiplexing (OFDM). In the DDE (decision-directed estimation) method proposed, the received subcarrier-symbols are presented to a competitive neural network that adaptively finds the clusters of the QAM (quadrature amplitude modulation) constellation. This method does not require a priori know/edge on the powerline then allowing a blind estimation of the channel with tracking capabilities limited by constraints on the phase changes. Simulations on a realistic indoor power-line system show that the proposed method achieves very good channel estimation and equalization performances and that it is robust to impulsive noise and nonlinearities
ISSN:0098-3063
1558-4127
DOI:10.1109/TCE.2006.273136