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New artificial neural network based adaptive non-linear equalizer for overcoming co-channel interference

  • Amir Hussain*
  • , J. J. Soraghan
  • , T. S. Durrani
  • *Corresponding author for this work

Research output: Contribution to conferencePaperpeer-review

3 Scopus citations

Abstract

This paper describes a new approach for the Decision Feedback Equalizer (DFE) based on the Functional Link Neural Network. The new structure termed the Decision Feedback Functional Link Equalizer (DFFLE) is applied to the problem of adaptive equalization in the presence of ISI, additive white noise and co-channel interference. It is shown through simulation results for a severe amplitude distorted co-channel system, that the DFFLE provides significantly superior BER performance characteristics compared to the conventional Linear Transversal Equalizer (LTE) and the recently reported non-linear Radial-Basis Function neural network and Feedforward Functional Link Equalizer (FFLE) based structures.

Original languageEnglish
Pages1422-1426
Number of pages5
StatePublished - 1996
Externally publishedYes

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Global and Planetary Change

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