Title
A Novel Inter-device Calibration for Wi-Fi-aided Indoor Localization Systems
Date Issued
01 January 2020
Access level
metadata only access
Resource Type
conference paper
Author(s)
Martínez del Horno M.
Romero-González C.
García-Varea I.
Universidad de Castilla-La Mancha
Publisher(s)
Springer
Abstract
Wi-Fi-based indoor localization mechanisms have attracted many research efforts in recent years due to the widespread use of this technology. All robots in indoor scenarios use this technology to provide Internet connection for Cloud services in speech understanding or human-robot interaction. However, this technology can also be used to provide localization services based on the Received Signal Strength Indicator (RSSI). Nevertheless, the majority of the current proposed indoor localization systems spend huge amounts of time in order to set-up the system in the target environment. In addition, given that the IEEE 802.11 standards leave the RSSI computation up to the manufacturers, each device which needs to be located has to survey the wireless platform to correctly calibrate the localization system. To overcome these drawbacks, this paper presents a novel inter-device calibration procedure for new potential devices which makes use of a previous calibration carried out by a different device. The proposed calibration procedure enables an on-the-fly configuration of any new device with a negligible loss of localization accuracy.
Start page
610
End page
619
Volume
1093 AISC
Language
English
OCDE Knowledge area
Ingeniería de sistemas y comunicaciones
Scopus EID
2-s2.0-85079085623
Resource of which it is part
Advances in Intelligent Systems and Computing
ISSN of the container
21945357
ISBN of the container
978-303036149-5
Conference
4th Iberian Robotics Conference, ROBOT 2019
Sponsor(s)
Acknowledgments. This work has been partially funded by the Spanish Ministry of Economy and Competitiveness under Grant number RTI2018-098156-B-C52, and by the Regional Council of Education, Culture and Sports of Castilla-La Mancha under grant number SBPLY/17/180501/000493, supported with FEDER funds. Miguel Martínez del Horno is also funded by the Universidad de Castilla-La Mancha grant 2016/14100.
Sources of information: Directorio de Producción Científica Scopus