Stammdaten

Titel: DoA Estimation in EM Lens Assisted Massive Antenna System Using Subsets Based Antenna Selection and High Resolution Algorithms
Untertitel:
Kurzfassung:

In recent times, massive antenna array technologyhas captured significant attention among wirelesscommunication researchers. This is a field with strong potentialto increase rates of data transfer; mitigate interferenceand serve a large number of users simultaneously. Tocontribute further to this emerging technology, this paperpresents an approach for the line-of-sight (LoS) based directionof arrival (DoA) estimation using the electromagnetic(EM) lens-focusing antenna concept. The EM lens focusesthe received signal energy as a function of the angle of arrival(AoA) to a small subset/area of the antenna array. This isadvantageous, as it helps to reduce both hardware implementation(RF chains) and the complexity of signal processingin the large number of antennas system. Furthermore, thisfocusing capability of the EM lens provides additional interferencerejection gain which leads to estimate the DoA ofuser terminals precisely. Hence, in this work, subsets basedantenna selection approach and subspace-based high resolutionDoA estimation algorithms have been considered incombination with the EM lens assisted massive antenna system.In simulations where the DoA is estimated with the EMlens, the results are comparable with conventional methods ofDoA estimation without an EM lens, despite the significantlyreduced overall system complexity.

Schlagworte:
Publikationstyp: Beitrag in Zeitschrift (Autorenschaft)
Erscheinungsdatum: 01.04.2018 (Online)
Erschienen in: Radioengineering
Radioengineering
zur Publikation
 ( Brno University of Technology; )
Titel der Serie: -
Bandnummer: 27
Heftnummer: 1
Erstveröffentlichung: Ja
Version: -
Seite: S. 159 - 168

Versionen

Keine Version vorhanden
Erscheinungsdatum: 01.04.2018
ISBN (e-book): -
eISSN: 1210-2512
DOI: http://dx.doi.org/10.13164/re.2018.0159
Homepage: https://www.radioeng.cz/fulltexts/2018/18_01_0159_0168.pdf
Open Access
  • Online verfügbar (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
Zitationsindex
  • Science Citation Index Expanded (SCI Expanded)
Informationen zum Zitationsindex: Master Journal List
Peer Reviewed
  • Ja
Publikationsfokus
  • Science to Science (Qualitätsindikator: II)
Klassifikationsraster der zugeordneten Organisationseinheiten:
Arbeitsgruppen
  • Embedded Communication Systems Group

Kooperationen

Organisation Adresse
Österreichischer Austauschdienst GmbH (OeAD)
Eberndorferstraße 7
1090 Wien
Österreich
  +43 1 4277 28110
  +43 1 4277 28194
Eberndorferstraße 7
AT - 1090  Wien

Beiträge der Publikation

Keine verknüpften Publikationen vorhanden