Find My Car: Simple RSS-based UWB Localization Algorithms for Single and Multiple Transmitters

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F20%3APU137693" target="_blank" >RIV/00216305:26220/20:PU137693 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/9282293" target="_blank" >https://ieeexplore.ieee.org/document/9282293</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/LATINCOM50620.2020.9282293" target="_blank" >10.1109/LATINCOM50620.2020.9282293</a>

Result language
angličtina
Original language name
Find My Car: Simple RSS-based UWB Localization Algorithms for Single and Multiple Transmitters
Original language description
This paper analyzes a scenario where single or multiple sensors placed on a parked car help the owner to find the car in a parking lot. It is assumed that the sensors communicate with the owner device over ultra-wide-band (UWB) and the owner device only records the received signal strength (RSS) values. Based on the RSS data, which are obtained from a field test, two algorithms are proposed, first, when there is only one UWB sensor transmitting from the car, and second, when there are three such transmitters available. For the single transmitter case, we used a multi-slope method for RSS-based ranging which yielded an average improvement of 2.5% in ranging accuracy over the basic linear regression model. For the three transmitter case, we are estimating distance of the receiver from the transmitters in an individual manner and then enhance the accuracy of the distance estimates with the knowledge of the other distances. The algorithm is simple, can act with heterogeneous sensor types and do not require time synchronization among transmitters, yet achieve an 8% improvement in ranging accuracy.
Czech name
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Czech description
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Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proc. of IEEE Latin-American Conference on Communications
ISBN
978-1-7281-8903-1
ISSN
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e-ISSN
—
Number of pages
6
Pages from-to
1-6
Publisher name
IEEE Communication Society
Place of publication
Universidad de los Andes, Colombia
Event location
Universidad ICESI, Colombia
Event date
Nov 18, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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