Title :
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
fDate :
6/27/1905 12:00:00 AM
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;
Journal_Title :
Antennas and Wireless Propagation Letters, IEEE
DOI :
10.1109/LAWP.2005.845907