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Performance Comparison of Blind Equalization Algorithms for Wireless Communication

by K Suthendran, T Arivoli
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 85 - Number 13
Year of Publication: 2014
Authors: K Suthendran, T Arivoli
10.5120/14898-3388

K Suthendran, T Arivoli . Performance Comparison of Blind Equalization Algorithms for Wireless Communication. International Journal of Computer Applications. 85, 13 ( January 2014), 1-6. DOI=10.5120/14898-3388

@article{ 10.5120/14898-3388,
author = { K Suthendran, T Arivoli },
title = { Performance Comparison of Blind Equalization Algorithms for Wireless Communication },
journal = { International Journal of Computer Applications },
issue_date = { January 2014 },
volume = { 85 },
number = { 13 },
month = { January },
year = { 2014 },
issn = { 0975-8887 },
pages = { 1-6 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume85/number13/14898-3388/ },
doi = { 10.5120/14898-3388 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:02:19.477988+05:30
%A K Suthendran
%A T Arivoli
%T Performance Comparison of Blind Equalization Algorithms for Wireless Communication
%J International Journal of Computer Applications
%@ 0975-8887
%V 85
%N 13
%P 1-6
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Adaptive equalization is an accepted method to mitigate the Inter-Symbol Interference (ISI) in wireless communication. Frequently, adaptive algorithm must needs transmission of well-known training sequence to track the time varying characteristics of the channel and hence make the most of superfluous bandwidth. It is also not viable to have training sequences in all types of transmissions (e. g. non-cooperative environment). Blind algorithm is a concept used to track the time varying characteristics of the channel in the deficiency of training sequence. Nevertheless, it leads to slow convergence. In this paper, the performance of Sato algorithm and Godard based blind algorithm is compared for PAM signal.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Blind Equalization Convergence Godard algorithm Sato algorithm

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