Detail publikačního výsledku

Application of the Global Optimization Approaches To Planar Near-Field Antenna Phaseless Measurements

PUSKELY, J.; NOVÁČEK, Z.

Originální název

Application of the Global Optimization Approaches To Planar Near-Field Antenna Phaseless Measurements

Anglický název

Application of the Global Optimization Approaches To Planar Near-Field Antenna Phaseless Measurements

Druh

Článek recenzovaný mimo WoS a Scopus

Originální abstrakt

This paper deals with a method of the radiation pattern determination of the directional antennas. The method combining both the functional minimization method and the Fourier iterative algorithm is based on the phaseless near-field measurement on two plane surfaces. The method is used for a reconstruction of the phase distribution on the aperture of the measured antenna, and for the determination of the antenna radiation pattern, consequently. The binary genetic algorithm (BGA), the real-valued genetic algorithm (RVGA), the particle swarm optimization (PSO) and differential evolutionary algorithm (DEA) were chosen for the global functional minimization. The paper is aimed to analyze the performance of the global optimizations (GOs) when solving the described problem, and to compare the GOs. GOs were exemined through datas achieved by measurement of the horn atenna and the parabola.

Anglický abstrakt

This paper deals with a method of the radiation pattern determination of the directional antennas. The method combining both the functional minimization method and the Fourier iterative algorithm is based on the phaseless near-field measurement on two plane surfaces. The method is used for a reconstruction of the phase distribution on the aperture of the measured antenna, and for the determination of the antenna radiation pattern, consequently. The binary genetic algorithm (BGA), the real-valued genetic algorithm (RVGA), the particle swarm optimization (PSO) and differential evolutionary algorithm (DEA) were chosen for the global functional minimization. The paper is aimed to analyze the performance of the global optimizations (GOs) when solving the described problem, and to compare the GOs. GOs were exemined through datas achieved by measurement of the horn atenna and the parabola.

Klíčová slova

Radiation pattern, planar near-field scanning, particle swarm optimization (PSO), binary genetic algorithms (BGA), real-valued genetic algorithm (RVGA), differential evolutionary algorithm (DEA), Fourier iterative algorithm.

Klíčová slova v angličtině

Radiation pattern, planar near-field scanning, particle swarm optimization (PSO), binary genetic algorithms (BGA), real-valued genetic algorithm (RVGA), differential evolutionary algorithm (DEA), Fourier iterative algorithm.

Autoři

PUSKELY, J.; NOVÁČEK, Z.

Rok RIV

2010

Vydáno

01.04.2009

Místo

Brno

ISSN

1210-2512

Periodikum

Radioengineering

Svazek

18

Číslo

1

Stát

Česká republika

Strany od

9

Strany do

17

Strany počet

9

BibTex

@article{BUT47642,
  author="Jan {Puskely} and Zdeněk {Nováček}",
  title="Application of the Global Optimization Approaches To Planar Near-Field Antenna Phaseless Measurements",
  journal="Radioengineering",
  year="2009",
  volume="18",
  number="1",
  pages="9--17",
  issn="1210-2512"
}