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Performance Evaluation of Non-linear Equalizer using Different Modulation Techniques

by Haritha T, Ramakrishna M, S Sri Gowri, D. Elizabeth Rani
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 71 - Number 20
Year of Publication: 2013
Authors: Haritha T, Ramakrishna M, S Sri Gowri, D. Elizabeth Rani
10.5120/12600-9296

Haritha T, Ramakrishna M, S Sri Gowri, D. Elizabeth Rani . Performance Evaluation of Non-linear Equalizer using Different Modulation Techniques. International Journal of Computer Applications. 71, 20 ( June 2013), 6-11. DOI=10.5120/12600-9296

@article{ 10.5120/12600-9296,
author = { Haritha T, Ramakrishna M, S Sri Gowri, D. Elizabeth Rani },
title = { Performance Evaluation of Non-linear Equalizer using Different Modulation Techniques },
journal = { International Journal of Computer Applications },
issue_date = { June 2013 },
volume = { 71 },
number = { 20 },
month = { June },
year = { 2013 },
issn = { 0975-8887 },
pages = { 6-11 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume71/number20/12600-9296/ },
doi = { 10.5120/12600-9296 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:36:07.150856+05:30
%A Haritha T
%A Ramakrishna M
%A S Sri Gowri
%A D. Elizabeth Rani
%T Performance Evaluation of Non-linear Equalizer using Different Modulation Techniques
%J International Journal of Computer Applications
%@ 0975-8887
%V 71
%N 20
%P 6-11
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

An equalization technique based on nonlinear Hammerstein type filters to combat the inter symbol interference (ISI) effect is proposed. This technique is nothing but nonlinear generalization of the linear equalizer. Linear frequency selective fading channels in presence of additive white Gaussian noise is considered using DPSK and QAM modulation techniques in this work. Simulation results shows that the proposed technique is found superior compared to when linear equalizer is used. Better BER performance at moderate and higher SNRs is achieved for M-QAM modulation. Results also show better MSE performance than the linear structure.

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Index Terms

Computer Science
Information Sciences

Keywords

Channel Equalization Frequency Selective Fading Channels Hammerstein Filter QAM DPSK

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