ANN based pattern generation, design and simulation of broadband fractal antenna for wireless applications

Title

ANN based pattern generation, design and simulation of broadband fractal antenna for wireless applications

Creator

Suganthi S.; Raghavan S.

Description

The synthesis of microstrip antenna(MSA) remains complex and time consuming from convenient design point of view. The Artificial Neural Network (ANN) on the other hand provides quicker and accurate solutions while multiple parameters controlling MSA designs. This paper proposes a new type of square fractal antenna (SFA) structure iterated and optimized by ANN developed using Advanced C and simulated using HFSS for optimum resonance characteristics covering 1.6-6.6 GHz frequency range. The motivation behind this work is size reduction of MSAs through FA concept with broadband resonance. It is suggested that the proposed antenna can be a right choice for various wireless applications because of its broadband functionality. 2016 IEEE.

Source

1st International Conference on Emerging Trends in Engineering, Technology and Science, ICETETS 2016 - Proceedings

Date

2016-01-01

Publisher

Institute of Electrical and Electronics Engineers Inc.

Subject

ANN; Fractal Antenna; HFSS; Iteration; Microstrip; Pattern Generation; Resonance

Coverage

Suganthi S., Dept. of ECE, Christ University, Bengaluru, India; Raghavan S., Dept. of ECE, NIT, Trichy, India

Rights

Restricted Access

Relation

ISBN: 978-146736725-7

Format

Online

Language

English

Type

Conference paper

Identifier

https://doi.org/10.1109/ICETETS.2016.7603037

https://www.scopus.com/inward/record.uri?eid=2-s2.0-84997216960&doi=10.1109%2fICETETS.2016.7603037&partnerID=40&md5=5ff2d26c64add76550d6dcd004b508a3