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Artificial Neural Network Model for Suspended Shorted Rectangular Microstrip Antennas

Published on September 2015 by Amit A. Deshmukh, Shivali D. Kulkarni, Venkata A.p.c
journal_cover_thumbnail

CAE Proceedings on International Conference on Communication Technology
Foundation of Computer Science USA
ICCT2015 - Number 2
September 2015
Authors: Amit A. Deshmukh, Shivali D. Kulkarni, Venkata A.p.c
0bb0bc8b-b32f-40cc-bbc8-a9041068d7e1

Amit A. Deshmukh, Shivali D. Kulkarni, Venkata A.p.c . Artificial Neural Network Model for Suspended Shorted Rectangular Microstrip Antennas. CAE Proceedings on International Conference on Communication Technology. ICCT2015, 2 (September 2015), 6-10.

@article{
author = { Amit A. Deshmukh, Shivali D. Kulkarni, Venkata A.p.c },
title = { Artificial Neural Network Model for Suspended Shorted Rectangular Microstrip Antennas },
journal = { CAE Proceedings on International Conference on Communication Technology },
issue_date = { September 2015 },
volume = { ICCT2015 },
number = { 2 },
month = { September },
year = { 2015 },
issn = 0975-8887,
pages = { 6-10 },
numpages = 5,
url = { /proceedings/icct2015/number2/22639-1540/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 CAE Proceedings on International Conference on Communication Technology
%A Amit A. Deshmukh
%A Shivali D. Kulkarni
%A Venkata A.p.c
%T Artificial Neural Network Model for Suspended Shorted Rectangular Microstrip Antennas
%J CAE Proceedings on International Conference on Communication Technology
%@ 0975-8887
%V ICCT2015
%N 2
%P 6-10
%D 2015
%I International Journal of Computer Applications
Abstract

The bandwidth in half wave or quarter wave length microstrip antennas is increased by using suspended configuration in which the radiating patch is suspended above the ground plane of finite air gap. While using thicker substrate, a closed form expressions for calculating edge extension length due to the fringing fields in shorted patch, is not available. In this paper, an artificial neural network model to calculate the shorted patch length and edge extension length for air suspended shorted rectangular microstrip antenna over wide frequency range (500 to 6000 MHz) and on thicker air substrate (0. 04?0 to 0. 1?0) is proposed. The resonance frequency calculated by using proposed neural network model closely agrees with the simulated and measured results. Thus, proposed model can be used to accurately calculate shorted patch length for shorted rectangular microstrip antenna.

References
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  10. Deshmukh, Amit A. , Kulkarni, Shivali D. , Venkata, A. P. C. , and Phatak, Neelam V. , Artificial Neural Network Model for Suspended Rectangular Microstrip Antennas, Proceedings of ICAC3 – 2015, 1st & 2nd April 2014, Mumbai, India
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Index Terms

Computer Science
Information Sciences

Keywords

Compact Microstrip Antenna Shorted Rectangular Microstrip Antenna Artificial Neural Network Model Supervised Network Back Propagation Algorithm.