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Artificial Neural Network based Bandwidth Estimation of a CPW-Fed Patch Antenna

by K. Y. Kapusuz, S. Can, B. Dagdeviren
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 69 - Number 11
Year of Publication: 2013
Authors: K. Y. Kapusuz, S. Can, B. Dagdeviren
10.5120/11890-7938

K. Y. Kapusuz, S. Can, B. Dagdeviren . Artificial Neural Network based Bandwidth Estimation of a CPW-Fed Patch Antenna. International Journal of Computer Applications. 69, 11 ( May 2013), 37-40. DOI=10.5120/11890-7938

@article{ 10.5120/11890-7938,
author = { K. Y. Kapusuz, S. Can, B. Dagdeviren },
title = { Artificial Neural Network based Bandwidth Estimation of a CPW-Fed Patch Antenna },
journal = { International Journal of Computer Applications },
issue_date = { May 2013 },
volume = { 69 },
number = { 11 },
month = { May },
year = { 2013 },
issn = { 0975-8887 },
pages = { 37-40 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume69/number11/11890-7938/ },
doi = { 10.5120/11890-7938 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:30:01.722473+05:30
%A K. Y. Kapusuz
%A S. Can
%A B. Dagdeviren
%T Artificial Neural Network based Bandwidth Estimation of a CPW-Fed Patch Antenna
%J International Journal of Computer Applications
%@ 0975-8887
%V 69
%N 11
%P 37-40
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this study, coplanar wave (CPW) feed microstrip antennas are designed to form dual frequency by inserting single stub. Bandwidths of the microstrip printed antennas for both upper and lower frequencies are represented in this study by considering the simulated and experimental results. For each size of T-matching network and each permittivity values are varied and effects of these variations are analyzed. The presented printed antennas in literature which have the same shape and the same feeding types are compared and results are presented. Besides presenting those, in a different way from the literature, this method is proposed to estimate the bandwidths of those antennas. The results of this study will guide researchers who want to predict the resonance frequencies and bandwidth of mentioned antennas before producing the antenna so that they will handle the problem by saving the time and estimating the bandwidth before production.

References
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Index Terms

Computer Science
Information Sciences

Keywords

CPW T-matching network printed antenna artificial neural networks

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