DocumentCode :
287981
Title :
New non-linear decision feedback equalizers based on the functional-link neural network
Author :
Hussain, Amir ; Soraghan, J.J. ; Durrani, T.S.
Author_Institution :
Signal Process. Div., Strathclyde Univ., Glasgow, UK
fYear :
1994
fDate :
34472
Firstpage :
42583
Lastpage :
42588
Abstract :
This paper presents a new approach for the Decision Feedback Equalizer using the Functional Link Network (DFFLE) for channel equalization in digital communication systems. Results show that the new non-linear DFFLE structures offer superior performance to the Multi-Layered perceptron (MLP) based DFE and the conventional DFE-LMS which are two widely used decision feedback equalizers. The performance has been evaluated in terms of the equalizers´ speed of convergence and bit error rates
Keywords :
convergence; decision feedback equalisers; digital communication; error statistics; neural nets; BER; bit error rates; channel equalization; convergence speed; digital communication systems; functional-link neural network; nonlinear decision feedback equalizers;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Non-Linear Filters, IEE Colloquium on
Conference_Location :
London
Type :
conf
Filename :
367922
Link To Document :
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