Nonlinear Channel Equalization for Digital Communi

Authors: Gyana Ranjan Patra Sayan Maity Soumen Sardar Swagatam Das

Publish Date: 2011/8/8

Volume: , Issue: , Pages: 403-414

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Abstract

A major hindrance in the way of reliable and lossless communication is the inter symbol interference ISI To counter the effects of ISI and to have proper reliable communication an adaptive equalizer can be employed at the receiver end This paper considers the applications of artificial neural network structures ANN to the channel equalization problem The problems related with channel nonlinearities and can be effectively subdued by application of ANNs This paper contains a new approach to channel equalization using functional link artificial neural network FLANN In this paper we have incorporated the novel idea of utilizing an evolutionary technique called Differential Evolution DE for the training of FLANN we have compared the results with back propagation BP and Genetic Algorithm GA trained FLANNs The comparison has been drawn based upon the minimum Mean Square Error MSE and Bit Error Rate BER performances From this study it is evident that the DE trained FLANN performs better than the other types of equalizers

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