Bandwidth optimization of the E-shaped microstrip antenna using the genetic algorithm based on fuzzy decision making

Author

Kashani, Farrokh Hojjat

Volume

3

fYear

2004

fDate

20-25 June 2004

Firstpage

2333

Abstract

The bandwidth of an E-shaped microstrip antenna is optimized using the genetic algorithm (GA) based on fuzzy decision making. The method of moments is employed for the analysis of the microstrip antenna at the frequency band of 1.8 GHz to 2.6 GHz by the optimization parameters of supply locations and slot dimensions. The fuzzy inference system is used for the control of the parameters of the genetic algorithm. In the implemented fuzzy system, inputs are parameters like population, and outputs are parameters such as crossover and mutation rates. Simulation results show the genetic algorithm to optimize the bandwidth of the E-shaped microstrip patch by 33.3%. The numerical results of the optimized antenna are compatible with measurements. VSWR is also measured and compared with the numerical data.

Keywords

UHF antennas; decision making; fuzzy systems; genetic algorithms; inference mechanisms; microstrip antennas; optimisation; 1.8 to 2.6 GHz; E-shaped microstrip antenna; VSWR; bandwidth optimization; crossover; fuzzy decision making; fuzzy inference system; genetic algorithm; method of moments; mutation rates; population; slot dimensions; supply locations; Antenna measurements; Bandwidth; Decision making; Frequency; Fuzzy systems; Genetic algorithms; Microstrip antennas; Moment methods; Optimization methods; Slot antennas;

fLanguage

English

Publisher

ieee

Conference_Titel

Antennas and Propagation Society International Symposium, 2004. IEEE

Print_ISBN

0-7803-8302-8

Type

conf

DOI

10.1109/APS.2004.1331839

Filename

1331839