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Sector Fitting - A Novel Positioning Algorithm for Sectorized Transmitters
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013).ORCID iD: 0000-0002-3570-9525
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013).ORCID iD: 0000-0003-3461-7079
2020 (English)In: 2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring), IEEE, 2020, article id 9128753Conference paper, Published paper (Refereed)
Abstract [en]

Numerous approaches exist for locating cellular base stations using UE measurements. Many of these employ signal strength as a basis to determine the position of the base station. However, partly due to the challenging radio environments encountered in the real world, these approaches often achieve limited accuracy. Here we present a novel localization method named sector fitting, which employs fusion of geometrically-based scores to locate the base station based only on the geographical distribution of the measurements and their cell identity. The method is evaluated by positioning LTE eNodeBs using a large set of measurements collected by modems onboard trains. The results show that sector fitting produces considerably more accurate position estimates than any of the considered alternative methods for the subset of eNodeBs it is applicable to.

Place, publisher, year, edition, pages
IEEE, 2020. article id 9128753
Keywords [en]
Base stations, Geographical distribution, Springs (components), Cell identity, Cellular base stations, Localization method, Position estimates, Positioning algorithms, Radio environment, Real-world, Signal strengths, Mobile telecommunication systems
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kau:diva-81442DOI: 10.1109/VTC2020-Spring48590.2020.9128753Scopus ID: 2-s2.0-85088291031ISBN: 9781728152073 (print)OAI: oai:DiVA.org:kau-81442DiVA, id: diva2:1503116
Conference
91st IEEE Vehicular Technology Conference, VTC Spring 2020, 25 May 2020 through 28 May 2020
Available from: 2020-11-23 Created: 2020-11-23 Last updated: 2024-03-11Bibliographically approved

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Sundberg, SimonGarcia, Johan

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CiteExportLink to record
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Citation style
  • apa
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  • apa.csl
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  • de-DE
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Output format
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