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

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=287981