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Direct Localisation using Ray-tracing and Least-Squares Support Vector Machines

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Original languageEnglish
Title of host publication2018 8th International Conference on Localization and GNSS (ICL-GNSS 2018)
Subtitle of host publicationProceedings of a meeting held 26-28 June 2018, Guimaraes, Portugal.
Publisher or commissioning bodyInstitute of Electrical and Electronics Engineers (IEEE)
ISBN (Print)9781538669853
DOIs
DateAccepted/In press - 17 May 2018
DateE-pub ahead of print (current) - 23 Aug 2018
Event8th International Conference on Localization and GNSS: Seamless Indoor-Outdoor Localization, ICL-GNSS 2018 - Guimaraes, Portugal
Duration: 26 Jun 201828 Jun 2018

Publication series

NameINTERNATIONAL CONFERENCE ON LOCALIZATION AND GNSS. (ICL-GNSS)
PublisherIEEE
ISSN (Print)2325-0771

Conference

Conference8th International Conference on Localization and GNSS: Seamless Indoor-Outdoor Localization, ICL-GNSS 2018
CountryPortugal
CityGuimaraes
Period26/06/1828/06/18

Abstract

This paper evaluates a novel scheme for direct 2D localization that employs least-squares support vector machines, using ray-tracing data. The scheme does not require non-line-of-sight identification or mitigation, which means it can be applied under any conditions. The approach requires perfect knowledge of base-station positions and the ray-tracing data is location specific. This approach shows that when an outage probability of twenty percent is considered, the mobile's location can be determined to within 15m of accuracy in a dense urban environment. Usage and application contexts for this approach are also provided.

    Research areas

  • localisation, positioning, support vector machines

Event

8th International Conference on Localization and GNSS: Seamless Indoor-Outdoor Localization, ICL-GNSS 2018

Duration26 Jun 201828 Jun 2018
CityGuimaraes
CountryPortugal

Event: Conference

Documents

Documents

  • Full-text PDF (accepted author manuscript)

    Rights statement: This is the accepted author manuscript (AAM). The final published version (version of record) is available online via IEEE at https://doi.org/10.1109/ICL-GNSS.2018.8440915 . Please refer to any applicable terms of use of the publisher.

    Accepted author manuscript, 643 KB, PDF document

    Licence: Other

DOI

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