Adaptive channel equalisation using a polynomial-perceptron structure
作者:
S.Chen,
G.J.Gibson,
C.F.N.Cowan,
期刊:
IEE Proceedings I (Communications, Speech and Vision)
(IET Available online 1990)
卷期:
Volume 137,
issue 5
页码: 257-264
年代: 1990
DOI:10.1049/ip-i-2.1990.0036
出版商: IEE
数据来源: IET
摘要:
The paper investigates the application of a simple nonlinear structure to the problem of adaptive channel equalisation. Based on the Bayes decision rule, it is shown that the optimal equalisation solution is an inherently nonlinear problem and, therefore, it is desired to incorporate some degree of nonlinearity in the design of equaliser structure. The approximate realisation of the optimal equalisation solution is implemented using a polynomial-perceptron architecture and simulation results are included to support the theoretical analysis.
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