Investigation Of Rectangular Dielectric Resonator Antenna Using Machine Learning Optimization Approach

Pinku Ranjan,Sachindra Pandey,Jayant Kumar Rai

doi:10.1109/iatmsi56455.2022.10119380

Investigation Of Rectangular Dielectric Resonator Antenna Using Machine Learning Optimization Approach

Pinku Ranjan, Sachindra Pandey + Show 1 more

https://doi.org/10.1109/iatmsi56455.2022.10119380

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Publication Date: Dec 21, 2022

Citations: 4

Affiliation: Atal Bihari Vajpayee Indian Institute of Information Technology and Management

#Machine Learning Algorithm #Decision Tree Machine Learning Algorithm + Show 8 more

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Abstract

In this article a microstrip patch antenna of rectangular shape along with a T-shaped printed line and RDRA on top of it is placed which is designed and optimized using Machine learning (ML)algorithm. This paper contributes a method for constructing antenna optimally using the approaches of machine learning. ML is used to fasten the process of antenna design, and for that the Random Forest and Decision Tree ML algorithm is used which gives us 96% and 94 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">%</sup> accuracy respectively. The frequency of the optimized antenna is in the range from 2.14 to 2.62 GHz and from 5.38 to 7.48 GHz which makes it suitable for Bluetooth or WiFi as well as for WiMax applications.

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