Microstrip-patch array design using a multiobjective GA

Author

van Coevorden, C.M.D.J. ; Garcia, Salvador G. ; Pantoja, M. Fernández ; Bretones, A. Rubio ; Martín, R. Gómez

Author_Institution

Fac. de Ciencias, Univ. of Granada, Spain

Volume

4

fYear

2005

fDate

6/27/1905 12:00:00 AM

Firstpage

100

Lastpage

103

Abstract

A Pareto multiobjective genetic algorithm (MOGA) has been applied to optimize the radiation characteristics of a 4×4 array of parasitically loaded microstrip-patch antennas in terms of sidelobe level (SLL), main-lobe half-power beamwidth, and dynamic range (DR). The geometry of the array configuration is fixed and the genetic algorithm (GA) finds the complex feeding coefficients of each element in the array.

Keywords

Pareto optimisation; antenna feeds; antenna radiation patterns; genetic algorithms; microstrip antenna arrays; MOGA; Pareto multiobjective genetic algorithm; SLL; complex feeding coefficient; main-lobe half-power beamwidth; microstrip-patch array design; parasitically loaded microstrip antenna; radiation characteristics; sidelobe level; Algorithm design and analysis; Antenna arrays; Bandwidth; Design optimization; Dynamic range; Genetic algorithms; Geometry; Microstrip antenna arrays; Microstrip antennas; Pareto optimization; Genetic algorithms (GAs); Pareto genetic algorithms; microstrip antenna arrays;

fLanguage

English

Journal_Title

Antennas and Wireless Propagation Letters, IEEE

Publisher

ieee

ISSN

1536-1225

Type

jour

DOI

10.1109/LAWP.2005.845907

Filename

1425450