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Efficient modeling of a two-terminal polarization convertor–loaded dielectric-built filtenna using ML algorithms

Published online by Cambridge University Press:  03 November 2025

Abhishek Kumar Open the ORCID record for Abhishek Kumar [Opens in a new window] ,
Jitendra Ahir  and
Sanjeev Kumar Gupta
Abhishek Kumar*
Affiliation:
Department of Electronics and Communication Engineering, Ravindranath Tagore University, Bhopal, MP, India
Jitendra Ahir
Affiliation:
Department of Electronics and Communication Engineering, Ravindranath Tagore University, Bhopal, MP, India
Sanjeev Kumar Gupta
Affiliation:
Department of Electronics and Communication Engineering, Ravindranath Tagore University, Bhopal, MP, India
*
Corresponding author: Abhishek Kumar; Email: abhishekphdrntu@gmail.com
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Abstract

In this study, a metasurface (MS) polarization converter combined with a two-port dielectric antenna is constructed and studied. The feeding configuration, which consists of a printed line connected to an aperture, offers built-in filtering capabilities. In addition to converting linear to circular polarization between 2.49 and 3.25 GHz, the suspended MS layer enhances port isolation to less than −20 dB. In addition, the suggested radiator’s |S11| is projected using the Random Forest and XGBoost machine learning (ML) models, which demonstrate satisfactory agreement with simulation data. The antenna effectively functions over 2.33–3.35 GHz, demonstrating that it is a leading contender for sub-6 GHz 5G communication systems. Fabricated measurements support both simulation and ML predictions.

Keywords

Alumina ceramicfiltering antennamachine learningmulti-port radiator

Information

Type
Research Paper
Information
International Journal of Microwave and Wireless Technologies , First View , pp. 1 - 8
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Copyright
© The Author(s), 2025. Published by Cambridge University Press in association with The European Microwave Association.

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