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Mitigating Inter-Symbol Interference using Blind Equalizer in a Wireless Communication System

by Nadeem Ullah Khan, Aftab Hussain, Mudassar Nawaz
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 175 - Number 2
Year of Publication: 2017
Authors: Nadeem Ullah Khan, Aftab Hussain, Mudassar Nawaz
10.5120/ijca2017915475

Nadeem Ullah Khan, Aftab Hussain, Mudassar Nawaz . Mitigating Inter-Symbol Interference using Blind Equalizer in a Wireless Communication System. International Journal of Computer Applications. 175, 2 ( Oct 2017), 5-10. DOI=10.5120/ijca2017915475

@article{ 10.5120/ijca2017915475,
author = { Nadeem Ullah Khan, Aftab Hussain, Mudassar Nawaz },
title = { Mitigating Inter-Symbol Interference using Blind Equalizer in a Wireless Communication System },
journal = { International Journal of Computer Applications },
issue_date = { Oct 2017 },
volume = { 175 },
number = { 2 },
month = { Oct },
year = { 2017 },
issn = { 0975-8887 },
pages = { 5-10 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume175/number2/28458-2017915475/ },
doi = { 10.5120/ijca2017915475 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:23:58.048282+05:30
%A Nadeem Ullah Khan
%A Aftab Hussain
%A Mudassar Nawaz
%T Mitigating Inter-Symbol Interference using Blind Equalizer in a Wireless Communication System
%J International Journal of Computer Applications
%@ 0975-8887
%V 175
%N 2
%P 5-10
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In modern world communication where multiple signal samples are transmitted at a time, a problematic phenomenon occurs called Inter symbol interference (ISI). In this phenomenon samples are affected by previous and next samples. This happens due to difference in the propagation delays over same path because of which symbols interact with each other at multiple points and over all signal is disturbed. Band limitation and multipath propagations are key issues of this phenomenon. Transmitted signal already contains white noise etc. The signal is affected by additive white noise as well. A suitable technique for reducing this ISI effect is adaptive method. Due to varying nature of noise detection, adaptive behavior of equalizer is necessary for effective mitigation. Adaptive algorithm requires a known training sequence to track time varying characteristics of the channel. Here the characteristics of channel are point of focus for the equalizers. Blind algorithms have a concept that they track time varying properties of channel as consequence of limitation in training sequence. The paper deals with the designing of equalizers using different modulation techniques. Results are applied over two wireless channels using three different wireless access techniques. The equalizer works as a blind equalizer since it treats the signals without any training pattern thus making this idea innovative. A comprehensive analysis based results are inferred to ensure the proper equalization model to reduce the ISI effect.

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Index Terms

Computer Science
Information Sciences

Keywords

ISI Blind Equalization QAM Rayleigh Rician QPSK Equalizers CMA MMA SCA BPSK QPSK Convergence

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