Neural network analysis of fractal Koch antenna
File(s)Neural_Network_analysis_of_Fractal_Antenna.pdf (9.36 MB)
Accepted version
Author(s)
Kumar, Varindra
Type
Conference Paper
Abstract
The paper proposes an economical, small size and compact fractal Koch dipole antenna for its resonance within 4 –5 GHz frequency band. The antenna and its array have been bent to calculate and show the parametric behavior with its curvature. The reflection parameter and its gain within the frequency band has also been calculated and compared with open end, short end and its bend configuration. A trained neural network function has been used to calculate antenna parameters of the array antenna using the known parameters of single element antenna. In addition the paper also provides frequency dependent impedance plot using ADS tool and its matching circuit for its application within controlled impedance PCB environment.
Date Acceptance
2020-12-20
Citation
2021 International Conference on Innovative Trends in Information Technology (ICITIIT)
ISBN
978-1-6654-0467-9
Publisher
IEEE
Journal / Book Title
2021 International Conference on Innovative Trends in Information Technology (ICITIIT)
Copyright Statement
© 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Source
The 2nd International Conference on Innovative trends in Information Technology (ICITIIIT'21)
Publication Status
Published
Start Date
2021-02-11
Finish Date
2021-02-12
Coverage Spatial
Kottayam, India
Date Publish Online
2021-04-14