Low Profile Dual Band H-Slotted Dgs Based Antenna Design Using Ann for K/Ku Band Applications
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Date
2021
Authors
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Volume Title
Publisher
IEEE
Open Access Color
Green Open Access
No
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Publicly Funded
No
Abstract
In this manuscripts, H-slotted DGS based antenna configuration for K/Ku applications is designed, fabricated and measured using ROHDE & SCHWARZ ZVB20 network analyzer. Simulation studies are performed using Electromagnetic Simulation Software CST Studio Suite. Moreover, a development of Artificial Neural Networks (ANN) model is implemented based on feed-forward back-propagation and Bayesian regularization learning algorithm. The optimal position for H-slotted DGS antenna performance is predicted in terms of reflection coefficient and resonance frequency. The antenna is implemented on Rogers RT/Duroid 5880 with relative dielectric constant of 0.0009 and thickness 0.38 mm. It operates at both 15.04 GHz (from 14.87 GHz to 15.208 GHz) and 24.77 GHz (from 24.404 GHz to 25.137 GHz). The antenna achieves gains of 5.59 dB and 6.10 dB and efficiencies of 87 % and 80 % at both frequencies, respectively. The simulation using CST, predicted ANN and measurement results are in good agreement.
Description
8th International Conference on Electrical and Electronics Engineering (ICEEE) -- APR 09-11, 2021 -- Antalya, TURKEY
Keywords
microstrip antenna, defected ground structure (DGS), finite element methods, artificial neural networks (ANN), CST studio suite, 5G band, dual band, low profile, Array
Fields of Science
0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology
Citation
WoS Q
N/A
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OpenCitations Citation Count
11
Source
2021 8Th Internatıonal Conference on Electrıcal And Electronıcs Engıneerıng (Iceee 2021)
Volume
Issue
Start Page
283
End Page
286
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CrossRef : 2
Scopus : 23
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Mendeley Readers : 5
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23
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Web of Science™ Citations
7
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