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Reseach Article

Optimization of Hexa-band PIFA using Artificial Neuro-Fuzzy Inference System based CAD Model

Published on September 2014 by Aarti Gehani, Dhaval Pujara
Recent Advances in Wireless Communication and Artificial Intelligence
Foundation of Computer Science USA
RAWCAI - Number 1
September 2014
Authors: Aarti Gehani, Dhaval Pujara
cd53168b-4323-41ef-9c76-aef0d6159a6b

Aarti Gehani, Dhaval Pujara . Optimization of Hexa-band PIFA using Artificial Neuro-Fuzzy Inference System based CAD Model. Recent Advances in Wireless Communication and Artificial Intelligence. RAWCAI, 1 (September 2014), 26-28.

@article{
author = { Aarti Gehani, Dhaval Pujara },
title = { Optimization of Hexa-band PIFA using Artificial Neuro-Fuzzy Inference System based CAD Model },
journal = { Recent Advances in Wireless Communication and Artificial Intelligence },
issue_date = { September 2014 },
volume = { RAWCAI },
number = { 1 },
month = { September },
year = { 2014 },
issn = 0975-8887,
pages = { 26-28 },
numpages = 3,
url = { /proceedings/rawcai/number1/17914-1410/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 Recent Advances in Wireless Communication and Artificial Intelligence
%A Aarti Gehani
%A Dhaval Pujara
%T Optimization of Hexa-band PIFA using Artificial Neuro-Fuzzy Inference System based CAD Model
%J Recent Advances in Wireless Communication and Artificial Intelligence
%@ 0975-8887
%V RAWCAI
%N 1
%P 26-28
%D 2014
%I International Journal of Computer Applications
Abstract

In this paper, optimization of hexa-band planar inverted f-antenna is carried out using artificial neuro-fuzzy inference system. The geometrical parameters of the antenna under consideration were given as input to the proposed CAD model while the return loss characteristics were obtained as output. A comparison of the output of the proposed CAD model and that of commercially available full wave solver was carried out. Based on the comparison, it was found that the results resembles closely. Results provided by the proposed CAD model were accurate and required less computation time and computational resources once trained properly.

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Index Terms

Computer Science
Information Sciences

Keywords

Artificial Neuro-fuzzy Inference System Hexa-band Planar Inverted-f Antenna Membership Function