Towards sub-meter level UWB indoor localization using body wearable sensors
| dc.contributor.author | Otim, Timothy | |
| dc.contributor.author | Bahillo, Alfonso | |
| dc.contributor.author | Enrique Díez, Luis | |
| dc.contributor.author | López Iturri, Peio | |
| dc.contributor.author | Falcone Lanas, Francisco | |
| dc.contributor.department | Ingeniaritza Elektrikoa, Elektronikoaren eta Telekomunikazio Ingeniaritzaren | eu |
| dc.contributor.department | Institute of Smart Cities - ISC | en |
| dc.contributor.department | Ingeniería Eléctrica, Electrónica y de Comunicación | es_ES |
| dc.date.accessioned | 2021-06-25T12:34:21Z | |
| dc.date.available | 2021-06-25T12:34:21Z | |
| dc.date.issued | 2020 | |
| dc.description.abstract | Thanks to its ability to provide sub-meter level positioning accuracy, Ultrawideband (UWB) has found wide use in several wireless body area network (WBAN) applications such as ambient assisted living, remote patient management and preventive care, among others. In spite of the attractiveness of UWB, it is not possible to achieve this level of accuracy when the human body obstructs the wireless channel, leading to a bias in the Time of Flight (TOF) measurements, and hence a detection of position errors of several meters. In this paper, a study of how a sub-meter level of accuracy can be achieved after compensating for body shadowing is presented. Using a Particle Filter (PF), we apply UWB ranging error models that take into consideration the body shadowing effect and evaluate them through simulations and extensive measurements. The results show a significant reduction in the median position error of up to 75 % and 82 % for simulations and experiments, respectively, leading to the achievement of a sub-meter level of localization accuracy. | en |
| dc.description.sponsorship | This work was supported in part by the Research Training Grants Program of the University of Deusto, in part by the Spanish Ministry of Science and Innovation under the PeaceOfMind project (ref. PID2019-105470RB-C31), and in part by the project RTI2018-095499-B-C31, funded by Ministerio de Ciencia, Innovacion y Universidades, Gobierno de Espana (MCIU/AEI/FEDER,UE). | en |
| dc.format.extent | 14 p. | |
| dc.format.mimetype | application/pdf | en |
| dc.identifier.citation | T. Otim, A. Bahillo, L. E. Díez, P. López-Iturri and F. Falcone, 'Towards Sub-Meter Level UWB Indoor Localization Using Body Wearable Sensors', in IEEE Access, vol. 8, pp. 178886-178899, 2020, doi: 10.1109/ACCESS.2020.3027669. | en |
| dc.identifier.doi | 10.1109/ACCESS.2020.3027669 | |
| dc.identifier.issn | 2169-3536 | |
| dc.identifier.uri | https://academica-e.unavarra.es/handle/2454/40050 | |
| dc.language.iso | eng | en |
| dc.publisher | IEEE | en |
| dc.relation.ispartof | IEEE Access, vol. 8, pp. 178886-178899, 2020 | en |
| dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-105470RB-C31/ES/ | |
| dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-095499-B-C31/ES/ | |
| dc.relation.publisherversion | https://doi.org/10.1109/ACCESS.2020.3027669 | |
| dc.rights | This work is licensed under a Creative Commons Attribution 4.0 License. | en |
| dc.rights.accessRights | info:eu-repo/semantics/openAccess | |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
| dc.subject | Body wearable sensors | en |
| dc.subject | Human body shadowing | en |
| dc.subject | Localization | en |
| dc.subject | Ranging | en |
| dc.subject | Ultrawideband | en |
| dc.subject | Time of flight | en |
| dc.subject | Particle filter | en |
| dc.title | Towards sub-meter level UWB indoor localization using body wearable sensors | en |
| dc.type | info:eu-repo/semantics/article | |
| dc.type.version | info:eu-repo/semantics/publishedVersion | |
| dspace.entity.type | Publication | |
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