Affiliation:
1. TED UNIVERSITY
2. ANKARA ÜNİVERSİTESİ, MÜHENDİSLİK FAKÜLTESİ
Abstract
This study presents the results of two optimization algorithms for estimating the resonant frequency, bandwidth, feed point, and input impedance of a rectangular-shaped microstrip antenna. To minimize the design cost and design time, genetic algorithms and particle swarm optimization methods have been applied and compared. The antenna design parameters were considered by using a genetic algorithm (GA) and particle swarm optimization (PSO) is implemented in the MATLAB® environment. The calculation results were assimilated with other studies in the literature in terms of accuracy. The computational results of the optimized parameters are having a good agreement with the experimental results. The optimized antenna was modeled and verified by the analyses performed using the CST Studio Suite® software.
Subject
Colloid and Surface Chemistry,Physical and Theoretical Chemistry
Reference17 articles.
1. [1] Balanis C. A., “Antenna Theory: Analysis and Design”, John Wiley & Sons, New Jersey, (2015).
2. [2] Bahl I.J. and Bhartia P., “Microstrip Antennas”, IEE Electromagnetic Wave Series No. 28.1 And 2, Peter Peregrinus Ltd., London, (1980).
3. [3] Garg R., Bhartia P., Bahl I.J., and Ittipiboon A., “Microstrip antenna design handbook”, Artech house, (2001).
4. [4] Akdagli A., “A Closed-Form Expression for the Resonant Frequency of Rectangular Microstrip Antennas.”, Microwave and Optical Technology Letters, 49(8), 1848-1852, (2007).
5. [5] Yılmaz A.E. and Kuzuoglu M., “Calculation of optimized parameters of rectangular microstrip patch antenna using particle swarm optimization”, Microwave and Optical Technology Letters, 49(12), 2905-2907, (2007).