Title :
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
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;
Conference_Titel :
Antennas and Propagation Society International Symposium (APSURSI), 2013 IEEE
Conference_Location :
Orlando, FL
Print_ISBN :
978-1-4673-5315-1
DOI :
10.1109/APS.2013.6711302