Cover
Vol. 22 No. 1 (2022)

Published: April 30, 2022

Pages: 86-92

Original Article

Design and Optimizing of Compact Ultra-Wide Band Printed Patch Antenna Employing Different Optimization Algorithms Based on Plant Inspiration

Hussein M. Hathal 1 Abdulkareem Swadi Abdullah 2 Ramzy S. Ali 2
1 Department of Electrical Engineering, College of Engineering, Mustansiriyah University, Baghdad, Iraq
2 Department of Electrical Engineering, College of Engineering, University of Basrah, Basrah, Iraq
History
  • Received: December 23, 2021
  • Revised: January 5, 2022
  • Accepted: January 11, 2022
  • Available Online: April 24, 2022
DOI

https://doi.org/10.33971/bjes.22.1.10

Abstract

In this paper, a compact ultra-wide band (UWB) printed patch antenna is designed and optimized using four biologically and plant inspired optimization algorithms. These algorithms are the newly adopted Moss Rose Optimization Algorithm (MROA), Runner Root Algorithm (RRA), Sunflower Optimization Algorithm (SFOA) and Particle Swarm Optimization (PSO). These algorithms are modified in an optimizer software, which merges the attributes of the design of electromagnetic environment of CST Microwave Studio with those of the technical programming environment of MATLAB. A compact (12 × 21.5) mm 2 printed patch antenna has been proposed and simulated over the whole UWB frequency range using these four optimization algorithms. The simulation results show the superiority of the antenna design using MROA, which has the widest covered frequency range, the lowest reflection coefficient and the lowest standing wave ratio.

Keywords

References

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