Novel phase distributions for large electronically beam-scanning reflectarrays

Abstract In this paper, the hybrid combination of genetic algorithm and particle swarm optimization (GAPSO) is used to optimize the phase distribution (PD) of beam-scanning reflectarray. The GAPSO takes advantage of both conventional algorithms and it could cover their weaknesses. Two novel PDs are...

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Autores principales:	Ahad Sheikholeslami, Zahra Atlasbaf
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/483a632ecc164f988947ecaf473a8335
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spelling	oai:doaj.org-article:483a632ecc164f988947ecaf473a83352021-11-14T12:18:33ZNovel phase distributions for large electronically beam-scanning reflectarrays10.1038/s41598-021-00883-62045-2322https://doaj.org/article/483a632ecc164f988947ecaf473a83352021-11-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-00883-6https://doaj.org/toc/2045-2322Abstract In this paper, the hybrid combination of genetic algorithm and particle swarm optimization (GAPSO) is used to optimize the phase distribution (PD) of beam-scanning reflectarray. The GAPSO takes advantage of both conventional algorithms and it could cover their weaknesses. Two novel PDs are proposed in this paper which constant phase elements (CPEs) and ordinary elements (OEs) are two basic kinds of elements used in them. The phases of CPEs are fixed and it is not changed during beam scanning and only OEs’ phase could be adjusted to scan the main beam. In this work GAPSO and two novel PDs are applied to array factor’s PD of a 30 × 30 reflectarray antenna to displace the main beam electronically in the vertical plane from − 40° to 40°. Also, in these two novel PDs, 28.8% of total elements are selected as CPEs. In the first one with only CPEs, the phase of OEs (71.2% of total elements) could adjust, but in the second novel PD with CPEs and phase symmetry plane 35.5% of the total elements’ phase could be changed to scan the beam. Optimization results show that the novel PD and hybrid algorithm have appropriate performance in the electronically beam scanning of reflectarrays.Ahad SheikholeslamiZahra AtlasbafNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-15 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Ahad Sheikholeslami Zahra Atlasbaf Novel phase distributions for large electronically beam-scanning reflectarrays
description	Abstract In this paper, the hybrid combination of genetic algorithm and particle swarm optimization (GAPSO) is used to optimize the phase distribution (PD) of beam-scanning reflectarray. The GAPSO takes advantage of both conventional algorithms and it could cover their weaknesses. Two novel PDs are proposed in this paper which constant phase elements (CPEs) and ordinary elements (OEs) are two basic kinds of elements used in them. The phases of CPEs are fixed and it is not changed during beam scanning and only OEs’ phase could be adjusted to scan the main beam. In this work GAPSO and two novel PDs are applied to array factor’s PD of a 30 × 30 reflectarray antenna to displace the main beam electronically in the vertical plane from − 40° to 40°. Also, in these two novel PDs, 28.8% of total elements are selected as CPEs. In the first one with only CPEs, the phase of OEs (71.2% of total elements) could adjust, but in the second novel PD with CPEs and phase symmetry plane 35.5% of the total elements’ phase could be changed to scan the beam. Optimization results show that the novel PD and hybrid algorithm have appropriate performance in the electronically beam scanning of reflectarrays.
format	article
author	Ahad Sheikholeslami Zahra Atlasbaf
author_facet	Ahad Sheikholeslami Zahra Atlasbaf
author_sort	Ahad Sheikholeslami
title	Novel phase distributions for large electronically beam-scanning reflectarrays
title_short	Novel phase distributions for large electronically beam-scanning reflectarrays
title_full	Novel phase distributions for large electronically beam-scanning reflectarrays
title_fullStr	Novel phase distributions for large electronically beam-scanning reflectarrays
title_full_unstemmed	Novel phase distributions for large electronically beam-scanning reflectarrays
title_sort	novel phase distributions for large electronically beam-scanning reflectarrays
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/483a632ecc164f988947ecaf473a8335
work_keys_str_mv	AT ahadsheikholeslami novelphasedistributionsforlargeelectronicallybeamscanningreflectarrays AT zahraatlasbaf novelphasedistributionsforlargeelectronicallybeamscanningreflectarrays
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Novel phase distributions for large electronically beam-scanning reflectarrays

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