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

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2 Author(s)
Marco Raugi ; Dept. of Electr. Syst. & Autom., Pisa Univ. ; Mauro Tucci

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

Published in:

IEEE Transactions on Consumer Electronics  (Volume:52 ,  Issue: 4 )