Title :
Optimization of the input impedance of Koch Pre-Fractals antennas with genetic algorithms
Author :
Elder Eldervitch Carneiro de Oliveira;Marcelo da Silva Vieira;Wellington Candeia de Ara?jo;Pedro Carlos de Assis;Adaildo Gomes D´Assun??o
Author_Institution :
Computation department, State University of Para?ba, UEPB, Patos, Brazil
Abstract :
This work presents an optimization on the input impedance of Koch Pre-fractals patches antennas using an efficient genetic algorithm (GA). The impedance matching is done by recesses (inset-fed), which is optimized to minimize the return loss (RL). The excitation of this structure is done using a microstrip line (L0). The antennas are designed using the package Ansoft Design™ software and the new structures optimized with GA are simulated, measured and compared with the same patch antenna but with the lengths of the inset-fed (y0) calculated by well known models available in the literature. The return loss value of the GA optimized antenna is presented below -40 dB at the resonant frequency.
Keywords :
"Genetic algorithms","Microstrip antennas","Patch antennas","Microstrip","Impedance matching","Optimization"
Conference_Titel :
Microwave and Optoelectronics Conference (IMOC), 2015 SBMO/IEEE MTT-S International
DOI :
10.1109/IMOC.2015.7369080