Resumo:
This thesis presents a novel methodology for optimizing patch antenna designs for both
ISM (industrial, scientific, and medical) and 5G frequency bands, based on the particle
swarm optimization (PSO) algorithm. Traditional design methods rely on equations to
approximate antenna dimensions based on target frequencies, often requiring iterative adjustments
to achieve desired performance specifications. This research demonstrates that
by employing PSO to estimate geometric parameters, the time-consuming fine-tuning
process can be significantly reduced. The proposed approach is validated through the
design of patch antennas for both ISM and 5G bands. Results indicate substantial improvements
in return loss and size reduction, achieving a 25% decrease in antenna size
for ISM applications and a 12% reduction for 5G designs. This research contributes to
the advancement of antenna design methodologies, showcasing the potential of PSO for
efficient and effective optimization across different frequency bands.
