Application of the global optimization approaches to planar near-field antenna phaseless measurements

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F08%3APU76156" target="_blank" >RIV/00216305:26220/08:PU76156 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Application of the global optimization approaches to planar near-field antenna phaseless measurements

Original language description

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 genetic algorithm (GA) and the particle swarm optimization (PSO) were chosen for the global functional minimization. The paper is aimed to analyze the performance of GO when solving the described problem, and to compare both the global optimizations. In the paper, the convergence of the global optimization depending on the phase knowledge on the antenna aperture is also analyzed. All the analyses were performed for a horn antenna which was measured at the frequency 12.4 GHz.

Czech name

Využití globalních optimalizačních algoritmů v bezfázových měření pro rekonstrukci vyzařovacích diagramů antén

Czech description

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 genetic algorithm (GA) and the particle swarm optimization (PSO) were chosen for the global functional minimization. The paper is aimed to analyze the performance of GO when solving the described problem, and to compare both the global optimizations. In the paper, the convergence of the global optimization depending on the phase knowledge on the antenna aperture is also analyzed. All the analyses were performed for a horn antenna which was measured at the frequency 12.4 GHz.

Type

D - Article in proceedings

CEP classification

JA - Electronics and optoelectronics

OECD FORD branch

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Project

<a href="/en/project/GA102%2F07%2F1084" target="_blank" >GA102/07/1084: Near Field of Antenna Arrays</a><br>

Continuities

Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2008

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Proceedings MMS'2008 Mediterranean Microwave Symposium

ISBN

9954-8577-0-2

ISSN

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e-ISSN

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Number of pages

6

Pages from-to

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Publisher name

Neuveden

Place of publication

Damascus

Event location

Damascus, Sýrie

Event date

Oct 14, 2008

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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