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

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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.

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.
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
ISBN (Print)9781538669853
DOIs
Publication statusE-pub ahead of print - 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

Keywords

  • localisation
  • positioning
  • support vector machines

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  • Cite this

    Chitambira, B., Armour, S., Wales, S., & Beach, M. (2018). Direct Localisation using Ray-tracing and Least-Squares Support Vector Machines. In 2018 8th International Conference on Localization and GNSS (ICL-GNSS 2018): Proceedings of a meeting held 26-28 June 2018, Guimaraes, Portugal. [8440915] (INTERNATIONAL CONFERENCE ON LOCALIZATION AND GNSS. (ICL-GNSS)). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ICL-GNSS.2018.8440915