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Antenna Array Based Localization Scheme for Vehicular Networks
University of Brasilia, Brasilia, Brazil.
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).ORCID iD: 0000-0003-4894-4134
Federal University of Ceara, Fortaleza, Brazil.
University of Brasilia, Brasilia, Brazil.
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2017 (English)In: 2017 IEEE International Conference on Computer and Information Technology (CIT) / [ed] Lisa O’Conner, Los Alamitos: IEEE Computer Society, 2017, 142-146 p.Conference paper, Published paper (Refereed)
Abstract [en]

Vehicular ad hoc networks (VANETs) are emerging as the possible solution for multiple concerns in road traffic such as mobility and safety. One of the main concerns present in VANETs is the localization and tracking of vehicles. This work presents a passive vehicle localization and tracking method based on direction of arrival (DOA) estimation. The proposed method does not rely on external sources of information such as Global Navigation Satellite Systems (GNSS) and can be used to mitigate the possibility of spoofing or to provide a second independent source of position estimation for integrity purposes. The proposed algorithm uses array signal processing techniques to estimate not only the position but also the direction of other vehicles in network. Furthermore, it is a fully passive method and can alleviate the network load since it does not require any location based data exchange and can be performed by any listening vehicle using the signal of any data transmission. A set of numerical simulations is used to validate the proposed method and the results are shown to be more precise than the average accuracy of Global Position System (GPS) receivers. © Copyright 2017 IEEE

Place, publisher, year, edition, pages
Los Alamitos: IEEE Computer Society, 2017. 142-146 p.
Keyword [en]
Localization, VANETs, MIMO, Spoofing
National Category
Communication Systems Telecommunications
Identifiers
URN: urn:nbn:se:hh:diva-34996DOI: 10.1109/CIT.2017.64ISBN: 978-1-5386-0958-3 (electronic)ISBN: 978-1-5386-0959-0 (print)OAI: oai:DiVA.org:hh-34996DiVA: diva2:1141848
Conference
17th IEEE International Conference on Computer and Information Technology (IEEE CIT-2017), Helsinki, Finland, 21-23 August, 2017
Available from: 2017-09-17 Created: 2017-09-17 Last updated: 2017-10-10Bibliographically approved

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Marinho, Marco A. M.Vinel, AlexeyPignaton de Freitas, Edison
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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
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  • asciidoc
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