Title :
The design of miniature three-element stochastic Yagi-Uda arrays using particle swarm optimization
Author :
Bayraktar, Z. ; Werner, P.L. ; Werner, D.H.
Abstract :
A fixed grid structure of reduced length is employed to generate three-element miniature stochastic Yagi-Uda arrays. Particle swarm optimization (PSO) is utilized to alter the shape and the element distances for optimum forward gain, good front-to-back ratio, and 2:1 or better voltage standing wave ratio (VSWR). Simulation results of PSO are compared with binary valued genetic algorithm (GA) optimized designs and with a conventional three-element Yagi-Uda array.
Keywords :
Yagi antenna arrays; genetic algorithms; particle swarm optimisation; VSWR; Yagi-Uda arrays; genetic algorithm; miniature three-element stochastic arrays; particle swarm optimization; voltage standing wave ratio; Antenna arrays; Design methodology; Design optimization; Dipole antennas; Genetic algorithms; Mesh generation; Particle swarm optimization; Stochastic processes; Wire; Yagi-Uda antennas; Genetic algorithms (GA); Yagi-Uda arrays; miniature antennas; particle swarm optimization (PSO);
Journal_Title :
Antennas and Wireless Propagation Letters, IEEE
DOI :
10.1109/LAWP.2005.863618
