Stammdaten

Titel: Low Complexity AoA Estimation with Planar Electromagnetic Lens Arrays
Untertitel:
Kurzfassung:

This paper describes the problem of angle of arrival (AoA) estimation with planar electromagnetic (EM) lens arrays. Planar EM lens arrays exhibit some implementation advantages if compared with dielectric lenses such as light weight and low cost, making them a very attractive solution for different applications. Although several AoA estimation algorithms and methods have been recently proposed, most part of the literature does not deal with the case of planar lens, and an analysis of EM lens array signal models reveals the impossibility to apply methodologies developed for other kind of EM lenses to this case. Therefore, this work develops novel algorithms for AoA estimation with planar EM lens arrays. Moreover, the proposed methods not only have a very low computational complexity, but also employ only signal energies, leading to a great implementation simplification. Numerical results are also shown to demonstrate the accuracy of the proposed methods.

Schlagworte: Antennas, electromagnetics, localization, 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. 1582 - 1587

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Keine Version vorhanden
Erscheinungsdatum: 28.04.2023
ISBN (e-book):
  • 979-8-3503-9902-8
eISSN: -
DOI: http://dx.doi.org/10.1109/ICCECT57938.2023.10140768
Homepage: https://ieeexplore.ieee.org/document/10140768
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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