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Blind equalization of a noisy channel by linear neural network

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2 Author(s)
Yong Fang ; Dept. of Electron. Eng., City Univ. of Hong Kong, Hong Kong ; Chow, T.W.S.

In this paper, a new neural approach is introduced for the problem of blind equalization in digital communications. Necessary and sufficient conditions for blind equalization are proposed, which can be implemented by a two-layer linear neural network, in the hidden layer, the received signals are whitened, while the network outputs provide directly an estimation of the source symbols. We consider a stochastic approximate learning algorithm for each layer according to the property of the correlation matrices of the transmitted symbols. The proposed class of networks yield good results in simulation examples for the blind equalization of a three-ray multipath channel

Published in:

Neural Networks, IEEE Transactions on  (Volume:10 ,  Issue: 4 )

Date of Publication:

Jul 1999

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