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Proceedings Paper

Data Equalisation Using Highly Non-Linear Adaptive Architectures
Author(s): Colin F. N. Cowan; Gavin J. Gibson; Sammy Siu
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Paper Abstract

The paper examines techniques whereby nonlinear adaptive processors can be introduced into the application of adaptive communications equalisation. This has traditionally been seen as an area restricted to the application of basically linear systems. It is shown that data equalisation may be formulated as an inherently non-linear problem. This leads us to propose a non-linear equaliser structure based on multi-layer perceptrons. Simulations are presented which verify the superior performance of this equaliser compared to linear and decision feedback equalisers.

Paper Details

Date Published: 14 November 1989
PDF: 10 pages
Proc. SPIE 1152, Advanced Algorithms and Architectures for Signal Processing IV, (14 November 1989); doi: 10.1117/12.962263
Show Author Affiliations
Colin F. N. Cowan, Edinburgh University (United Kingdom)
Gavin J. Gibson, Edinburgh University (United Kingdom)
Sammy Siu, Edinburgh University (United Kingdom)


Published in SPIE Proceedings Vol. 1152:
Advanced Algorithms and Architectures for Signal Processing IV
Franklin T. Luk, Editor(s)

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