Data Equalisation Using Highly Non-Linear Adaptive Architectures

Colin F. N. Cowan; Gavin J. Gibson; Sammy Siu

doi:10.1117/12.962263

14 November 1989 Data Equalisation Using Highly Non-Linear Adaptive Architectures

Colin F. N. Cowan, Gavin J. Gibson, Sammy Siu

Proceedings Volume 1152, Advanced Algorithms and Architectures for Signal Processing IV; (1989) https://doi.org/10.1117/12.962263
Event: 33rd Annual Technical Symposium, 1989, San Diego, United States

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.

Citation Download Citation

Colin F. N. Cowan, Gavin J. Gibson, and Sammy Siu "Data Equalisation Using Highly Non-Linear Adaptive Architectures", Proc. SPIE 1152, Advanced Algorithms and Architectures for Signal Processing IV, (14 November 1989); https://doi.org/10.1117/12.962263

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