Adaptive equalisation of finite non-linear channels using multilayer perceptrons
Adaptive equalisation of finite non-linear channels using multilayer perceptrons
Adaptive equalization of channels with non-linear intersymbol interference is considered. It is shown that difficulties associated with channel non-linearities and additive noise correlation can be overcome by the use of equalizers employing a multi-layer perceptron structure. This provides further evidence that the neural network approach proposed recently by Gibson et al. is a general solution to the problem of equalization in digital communications systems.
107-119
Chen, S.
9310a111-f79a-48b8-98c7-383ca93cbb80
Gibson, G. J.
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Cowan, C. F. N.
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Grant, P. M.
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February 1990
Chen, S.
9310a111-f79a-48b8-98c7-383ca93cbb80
Gibson, G. J.
f6598836-ae2a-4707-9956-3600c35d5ee6
Cowan, C. F. N.
383ecc7c-1e78-4861-95d7-cbfeb02745a1
Grant, P. M.
e527fff4-da0f-4bc4-91cf-eed522070300
Chen, S., Gibson, G. J., Cowan, C. F. N. and Grant, P. M.
(1990)
Adaptive equalisation of finite non-linear channels using multilayer perceptrons.
Signal Processing, 20 (2), .
(doi:10.1016/0165-1684(90)90122-F).
Abstract
Adaptive equalization of channels with non-linear intersymbol interference is considered. It is shown that difficulties associated with channel non-linearities and additive noise correlation can be overcome by the use of equalizers employing a multi-layer perceptron structure. This provides further evidence that the neural network approach proposed recently by Gibson et al. is a general solution to the problem of equalization in digital communications systems.
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Published date: February 1990
Organisations:
Southampton Wireless Group
Identifiers
Local EPrints ID: 251136
URI: http://eprints.soton.ac.uk/id/eprint/251136
ISSN: 0165-1684
PURE UUID: 75743eee-90b1-4745-8fc2-34bd79eafd97
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Date deposited: 12 Oct 1999
Last modified: 14 Mar 2024 05:09
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Contributors
Author:
S. Chen
Author:
G. J. Gibson
Author:
C. F. N. Cowan
Author:
P. M. Grant
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