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

Citation

Hussain A, Soraghan JJ & Durrani T (1996) A new artificial neural network based adaptive non-linear equalizer for overcoming co-channel interference. In: 'Communications: The Key to Global Prosperity: Global Telecommunications Conference, 1996. GLOBECOM '96, Volume 2. 'Communications: The Key to Global Prosperity': Global Telecommunications Conference, 1996. GLOBECOM '96, London, UK, 18.11.1996-22.11.1996. Piscataway, NJ: IEEE, pp. 1422-1426. http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=587680&abstractAccess=no&userType=inst; https://doi.org/10.1109/GLOCOM.1996.587680

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 non-linear radial-basis function neural network and feedforward functional link equalizer (FFLE) based structures

People

Professor Tariq Durrani

Honorary Professor, Computing Science