A Visible Light Positioning System based on Support Vector Machines
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F21%3A00353411" target="_blank" >RIV/68407700:21230/21:00353411 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1109/PIMRC50174.2021.9569249" target="_blank" >https://doi.org/10.1109/PIMRC50174.2021.9569249</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/PIMRC50174.2021.9569249" target="_blank" >10.1109/PIMRC50174.2021.9569249</a>
Alternative languages
Result language
angličtina
Original language name
A Visible Light Positioning System based on Support Vector Machines
Original language description
In this work, a new indoor visible light positioning algorithm is proposed based on support vector machines (SVM) and polynomial regression. Two different multipath environments of an empty room and a furnished room are considered. The algorithm starts by addressing the received power distance relation, considering polynomial regression models fitted to the specific areas of the room. In the second stage, an SVM is used to classify the best-fitted polynomial, which is used with nonlinear least squares to estimate the position of the receiver. The results show that, in an empty room, the positioning accuracy improvement for the positioning error, ε p of 2.5 cm are 36.1, 58.3, and 72.2 % for three different scenarios according to the regions’ distribution in the room. For the furnished room, a positioning relative accuracy improvement of 214, 170, and 100 % is observed for ε p of 0.1, 0.2, and 0.3 m, respectively.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20201 - Electrical and electronic engineering
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 32nd Annual International Symposium on Personal, Indoor and Mobile Radio Communications
ISBN
978-1-7281-7586-7
ISSN
1558-2612
e-ISSN
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Number of pages
6
Pages from-to
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Publisher name
University of Oulu
Place of publication
Oulu
Event location
Oulu
Event date
Sep 13, 2021
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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