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Evaluation of localization methods in millimeter-wave wireless systems
KTH, School of Electrical Engineering (EES), Automatic Control.
KTH, School of Electrical Engineering (EES), Automatic Control.ORCID iD: 0000-0001-9810-3478
2014 (English)In: 2014 IEEE 19th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2014, IEEE conference proceedings, 2014, 345-349 p.Conference paper (Refereed)
Abstract [en]

Millimeter-wave communications are considered as one of the key technologies for enabling multi-gigabit wireless access and bandwidth demanding applications. An increasing number of these applications, such as smart environments, asset tracking, video surveillance, and specialized location based services, require knowledge related to the location of the wireless devices. Due to the special characteristics of millimeter-wave transmissions, such as high path loss attenuation, oxygen absorption, and antenna directivity, it is challenging to achieve accurate localization. In this overview paper, the performance of localization methods over the millimeter-wave medium is compared under realistic conditions. The prominent localization approaches based on received signal strength, time of arrival, and angle of arrival of millimeter-wave signals, are numerically evaluated by an extensive set of Monte Carlo simulations. It is suggested that localization based on angle of arrival is the most promising for millimeter-wave transmissions.

Place, publisher, year, edition, pages
IEEE conference proceedings, 2014. 345-349 p.
Keyword [en]
Direction of arrival, Intelligent systems, Location based services, Monte Carlo methods, Security systems, Telecommunication services, Tracking (position), Wave propagation, Wave transmission, Antenna directivity, Localization method, Millimeter wave signals, Millimeter-wave communication, Millimeter-wave wireless systems, Realistic conditions, Received signal strength, Video surveillance, Millimeter waves
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:kth:diva-174819DOI: 10.1109/CAMAD.2014.7033263ScopusID: 2-s2.0-84949928094ISBN: 9781479957255OAI: oai:DiVA.org:kth-174819DiVA: diva2:881648
Conference
2014 IEEE 19th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2014, 1 December 2014 through 3 December 2014
Note

QC 20151211

Available from: 2015-12-11 Created: 2015-10-07 Last updated: 2015-12-11Bibliographically approved

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