Publication result detail

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

PUSKELY, J.; NOVÁČEK, Z.

Original Title

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

English Title

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

Type

Peer-reviewed article not indexed in WoS or Scopus

Original Abstract

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.

English abstract

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.

Keywords

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.

Key words in English

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.

Authors

PUSKELY, J.; NOVÁČEK, Z.

RIV year

2010

Released

01.04.2009

Location

Brno

ISBN

1210-2512

Periodical

Radioengineering

Volume

18

Number

1

State

Czech Republic

Pages from

9

Pages to

17

Pages count

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"
}