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Direction of arrival estimation performance for compact antenna arrays with adjustable size
German Aerosp Ctr DLR, Inst Commun & Nav, Wessling, Germany.
German Aerosp Ctr DLR, Inst Commun & Nav, Wessling, Germany.
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS).
Fed Univ Ceara UFC, Dept Teleinformat Engn, Fortaleza, Ceara, Brazil.
2017 (English)In: 2017 IEEE MTT-S INTERNATIONAL MICROWAVE SYMPOSIUM (IMS), Piscataway: IEEE, 2017, p. 666-669, article id 8058657Conference paper, Published paper (Refereed)
Abstract [en]

The quest for compact antenna arrays able to perform robust beamforming and high resolution direction of arrival (DOA) estimation is pushing the antenna array dimensions to progressively shrink, with effects in terms of reduced performance not only for the antenna but also for beamforming and DOA estimation algorithms, for which their assumptions about the antenna properties do not hold anymore. This work shows the design and development of an antenna array with adjustable mutual distance between the single elements: such setup will allow to scientifically analyse the effects that progressive miniaturization, i.e. progressively smaller mutual distances between the antennas, have on the DOA estimation algorithms, as well as show the improvements obtained by using array interpolation methods, i.e. techniques able to create a virtual array response out of the actual array one, such as to comply with the algorithms’ requirements on the antenna response. © 2017 IEEE.

Place, publisher, year, edition, pages
Piscataway: IEEE, 2017. p. 666-669, article id 8058657
Series
IEEE MTT-S INTERNATIONAL MICROWAVE SYMPOSIUM (IMS), E-ISSN 0149-645X
Keywords [en]
Antenna arrays, Antennas, Beamforming, Direction of arrival, Interpolation, Miniature instruments, Array, Array interpolation, Design and Development, Direction of arrival estimation, Direction of arrivalestimation(DOA), DOA estimation algorithms, GNSS, Miniaturization, Beam forming networks
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:hh:diva-36501DOI: 10.1109/MWSYM.2017.8058657ISI: 000425241500177Scopus ID: 2-s2.0-85032498848ISBN: 978-1-5090-6360-4 (print)OAI: oai:DiVA.org:hh-36501DiVA, id: diva2:1218257
Conference
2017 IEEE MTT-S International Microwave Symposium (IMS 2017), Honololu, United States, 4-9 June, 2017
Available from: 2018-06-14 Created: 2018-06-14 Last updated: 2018-06-14Bibliographically approved

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Marinho, Marco

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
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  • Other locale
More languages
Output format
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  • asciidoc
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