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

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20202 - Communication engineering and systems

Projekt

—

Návaznosti

O - Projekt operacniho programu

Rok uplatnění

2020

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proc. of IEEE Latin-American Conference on Communications

ISBN

978-1-7281-8903-1

ISSN

—

e-ISSN

—

Počet stran výsledku

6

Strana od-do

1-6

Název nakladatele

IEEE Communication Society

Místo vydání

Universidad de los Andes, Colombia

Místo konání akce

Universidad ICESI, Colombia

Datum konání akce

18. 11. 2020

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

—