Stammdaten

Titel: Reconfigurable Planar Electromagnetic Lens Array Modeling for Fast Performance Evaluation
Untertitel:
Kurzfassung:

Planar electromagnetic (EM) lenses are thin devices usually comprising sub-wavelength unit cell elements that synthesize a certain phase delay profile to focus the energy at a specific distance from the lens focal length. The design of these planar EM lenses unit cell elements is usually performed by means of full-EM simulation and optimization software. However, the full-EM simulation of the whole planar EM lens for its performance verification has an extremely large computational complexity, as well as it requires a very long simulation time. A mathematical model which describes the behavior of a planar EM lens array based on the characteristics of the EM lens unit cell elements is described in this paper. After that, this model is employed to benchmark the performance of a planar EM lens array based on a reconfigurable transmit array unit cell element, verifying the ability of the lens to reconfigure the focus characteristics to better deal with different incident angles ranges.

Schlagworte: Antennas, electromagnetics, intelligent reflecting surfaces, radio
Publikationstyp: Beitrag in Proceedings (Autorenschaft)
Erscheinungsdatum: 28.04.2023 (Online)
Erschienen in: 2023 IEEE International Conference on Control, Electronics and Computer Technology (ICCECT)
2023 IEEE International Conference on Control, Electronics and Computer Technology (ICCECT)
zur Publikation
 ( IEEE; )
Titel der Serie: -
Bandnummer: -
Erstveröffentlichung: Ja
Version: -
Seite: S. 1578 - 1581

Versionen

Keine Version vorhanden
Erscheinungsdatum: 28.04.2023
ISBN (e-book):
  • 979-8-3503-9902-8
eISSN: -
DOI: http://dx.doi.org/10.1109/ICCECT57938.2023.10140289
Homepage: https://ieeexplore.ieee.org/document/10140289
Open Access
  • Online verfügbar (nicht Open Access)

Zuordnung

Organisation Adresse
Fakultät für Technische Wissenschaften
 
Institut für Vernetzte und Eingebettete Systeme
Universitätsstraße 65-67
9020 Klagenfurt am Wörthersee
Österreich
  -993640
   kornelia.lienbacher@aau.at
https://nes.aau.at/
zur Organisation
Universitätsstraße 65-67
AT - 9020  Klagenfurt am Wörthersee

Kategorisierung

Sachgebiete
Forschungscluster Kein Forschungscluster ausgewählt
Peer Reviewed
  • Ja
Publikationsfokus
  • Science to Science (Qualitätsindikator: II)
Klassifikationsraster der zugeordneten Organisationseinheiten:
Arbeitsgruppen
  • Embedded Communication Systems Group

Kooperationen

Organisation Adresse
University of Electronic Science and Technology of China
Chengdu
China
CN  Chengdu

Beiträge der Publikation

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