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Published in: Wireless Personal Communications 3/2017

10-08-2017

Design and Optimization of PSI (Ψ) Slotted Fractal Antenna Using ANN and GA for Multiband Applications

Authors: Gagandeep Kaur, Munish Rattan, Chahat Jain

Published in: Wireless Personal Communications | Issue 3/2017

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Abstract

A novel design of PSI (Ψ) slotted fractal antenna that exhibits multiband operation has been used for optimization in this paper which enhanced its utilities for distinct bands. The empirical fact is that return loss is optimized after applying Artificial Neural Network and Genetic Algorithm. The proposed fractal antenna has been designed using substrate material of RT/Duroid having height of substrate 1.5 mm, dielectric constant 2.2 and loss tangent 0.0009 for the stage of iteration up to one. The simulated, optimized and experimental results are obtained by the use of Zeland IE3D software, MATLAB Software and Rohde and Schwarz ZVL Vector Network Analyzer respectively. The measured values of return loss which obtained after fabrication are −13.81, −19.88, −20.86, and −27.33 dB for the resonant frequencies 1.89, 2.78, 4.40, and 5.72 GHz and the values of their respective VSWR are 1.52, 1.25, 1.21 and 1.12. The output values obtained after simulation and fabrication have minute variations but are found to be a good candidate for applications in the bands of L, S and C.

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Metadata
Title
Design and Optimization of PSI (Ψ) Slotted Fractal Antenna Using ANN and GA for Multiband Applications
Authors
Gagandeep Kaur
Munish Rattan
Chahat Jain
Publication date
10-08-2017
Publisher
Springer US
Published in
Wireless Personal Communications / Issue 3/2017
Print ISSN: 0929-6212
Electronic ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-017-4739-5

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