@inproceedings{894dbdfd7d534f17855fd2aa7830f80c,
title = "Direct Localisation using Ray-tracing and Least-Squares Support Vector Machines",
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",
year = "2018",
month = aug,
day = "23",
doi = "10.1109/ICL-GNSS.2018.8440915",
language = "English",
isbn = "9781538669853",
series = "INTERNATIONAL CONFERENCE ON LOCALIZATION AND GNSS. (ICL-GNSS)",
publisher = "Institute of Electrical and Electronics Engineers (IEEE)",
booktitle = "2018 8th International Conference on Localization and GNSS (ICL-GNSS 2018)",
address = "United States",
note = "8th International Conference on Localization and GNSS: Seamless Indoor-Outdoor Localization, ICL-GNSS 2018 ; Conference date: 26-06-2018 Through 28-06-2018",
}