Optimally design of hybrid rectangular dielectric resonator antenna by using genetic algorithms

Author

Noaman Al-Azza, Ali Abdulhadi ; Harackiewicz, Frances J.

Author_Institution

Dept. of Electr. & Comput. Eng., Southern Illinois Univ., Carbondale, IL, USA

fYear

2013

fDate

7-13 July 2013

Firstpage

1284

Lastpage

1285

Abstract

This paper introduces an efficient technique to optimally design a dielectric resonator antenna (DRA). This technique is based on using the real coded genetic algorithm (RCGA). RCGA is used to get the desired resonant frequencies by finding the optimal configuration of the antenna. To show the efficiency of this technique, three different optimization cases are considered and simulated by using the electromagnetic simulation software CST STUDIO SUITE. To verify the results, one of the cases is fabricated and compared with the simulated one.

Keywords

dielectric resonator antennas; electrical engineering computing; genetic algorithms; rectangular waveguides; waveguide antennas; CST STUDIO SUITE; DRA; RCGA; electromagnetic simulation software; optimal antenna configuraion; optimal hybrid rectangular dielectric resonator antenna design; optimization cases; real coded genetic algorithm; resonant frequencies; Broadband antennas; Dielectric resonator antennas; Dielectrics; Genetic algorithms; Optimization; Resonant frequency;

fLanguage

English

Publisher

ieee

Conference_Titel

Antennas and Propagation Society International Symposium (APSURSI), 2013 IEEE

Conference_Location

Orlando, FL

ISSN

1522-3965

Print_ISBN

978-1-4673-5315-1

Type

conf

DOI

10.1109/APS.2013.6711302

Filename

6711302