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

Benny Chitambira; Simon Armour; Stephen Wales; Mark Beach

doi:10.1109/ICL-GNSS.2018.8440915

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

Benny Chitambira, Simon Armour, Stephen Wales, Mark Beach

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

7 Citations (Scopus)

182 Downloads (Pure)

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 language	English
Title of host publication	2018 8th International Conference on Localization and GNSS (ICL-GNSS 2018)
Subtitle of host publication	Proceedings of a meeting held 26-28 June 2018, Guimaraes, Portugal.
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
ISBN (Print)	9781538669853
DOIs	https://doi.org/10.1109/ICL-GNSS.2018.8440915
Publication status	E-pub ahead of print - 23 Aug 2018
Event	8th International Conference on Localization and GNSS: Seamless Indoor-Outdoor Localization, ICL-GNSS 2018 - Guimaraes, Portugal Duration: 26 Jun 2018 → 28 Jun 2018

Publication series

Name	INTERNATIONAL CONFERENCE ON LOCALIZATION AND GNSS. (ICL-GNSS)
Publisher	IEEE
ISSN (Print)	2325-0771

Conference

Conference	8th International Conference on Localization and GNSS: Seamless Indoor-Outdoor Localization, ICL-GNSS 2018
Country/Territory	Portugal
City	Guimaraes
Period	26/06/18 → 28/06/18

Keywords

localisation
positioning
support vector machines

Access to Document

10.1109/ICL-GNSS.2018.8440915

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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, 644 KBLicence: Other

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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. Article 8440915 (INTERNATIONAL CONFERENCE ON LOCALIZATION AND GNSS. (ICL-GNSS)). Institute of Electrical and Electronics Engineers (IEEE). Advance online publication. https://doi.org/10.1109/ICL-GNSS.2018.8440915

Chitambira, Benny ; Armour, Simon ; Wales, Stephen et al. / Direct Localisation using Ray-tracing and Least-Squares Support Vector Machines. 2018 8th International Conference on Localization and GNSS (ICL-GNSS 2018): Proceedings of a meeting held 26-28 June 2018, Guimaraes, Portugal.. Institute of Electrical and Electronics Engineers (IEEE), 2018. (INTERNATIONAL CONFERENCE ON LOCALIZATION AND GNSS. (ICL-GNSS)).

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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.",

keywords = "localisation, positioning, support vector machines",

author = "Benny Chitambira and Simon Armour and Stephen Wales and Mark Beach",

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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), 8th International Conference on Localization and GNSS: Seamless Indoor-Outdoor Localization, ICL-GNSS 2018, Guimaraes, Portugal, 26/06/18. https://doi.org/10.1109/ICL-GNSS.2018.8440915

Direct Localisation using Ray-tracing and Least-Squares Support Vector Machines. / Chitambira, Benny ; Armour, Simon; Wales, Stephen et al.
2018 8th International Conference on Localization and GNSS (ICL-GNSS 2018): Proceedings of a meeting held 26-28 June 2018, Guimaraes, Portugal.. Institute of Electrical and Electronics Engineers (IEEE), 2018. 8440915 (INTERNATIONAL CONFERENCE ON LOCALIZATION AND GNSS. (ICL-GNSS)).

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

TY - GEN

T1 - Direct Localisation using Ray-tracing and Least-Squares Support Vector Machines

AU - Chitambira, Benny

AU - Armour, Simon

AU - Wales, Stephen

AU - Beach, Mark

PY - 2018/8/23

Y1 - 2018/8/23

N2 - 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.

AB - 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.

KW - localisation

KW - positioning

KW - support vector machines

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AN - SCOPUS:85053402648

SN - 9781538669853

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BT - 2018 8th International Conference on Localization and GNSS (ICL-GNSS 2018)

PB - Institute of Electrical and Electronics Engineers (IEEE)

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Y2 - 26 June 2018 through 28 June 2018

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Chitambira B , Armour S, Wales S, Beach M. 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.. Institute of Electrical and Electronics Engineers (IEEE). 2018. 8440915. (INTERNATIONAL CONFERENCE ON LOCALIZATION AND GNSS. (ICL-GNSS)). Epub 2018 Aug 23. doi: 10.1109/ICL-GNSS.2018.8440915

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

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