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Low-cost indoor localization system combining multilateration and Kalman filter

2021Conference paper Open access
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dc.contributor.authorOliveira, Leonardo Sestrem de
dc.contributor.authorRayel, Ohara Kerusauskas
dc.contributor.authorLeitão, Paulo
dc.date.accessioned2021-11-17T15:16:27Z
dc.date.available2021-11-17T15:16:27Z
dc.date.issued2021
dc.description.abstractIndoor localization systems play an important role to track objects during their life-cycle in indoor environments, e.g., related to retail, logistics and mobile robotics. These positioning systems use several techniques and technologies to estimate the position of each object, and face several requirements such as position accuracy, security, range of coverage, energy consumption and cost. This paper describes a practical implementation of a BLE (Bluetooth Low Energy) based localization system that combines multilateration and Kalman filter techniques to achieve a low cost solution, maintaining a good position accuracy. The proposed approach was experimentally tested in an indoor environment, with the achieved results showing a clear low cost system presenting an increase of the estimated position accuracy by 10% for an average error of 2.33 meterspt_PT
dc.description.sponsorshipThis work has been supported by FCT – Fundação para a Ciência e Tecnologia within the Project Scope UIDB/05757/2020.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationOliveira, Leonardo Sestrem de; Rayel, Ohara Kerusauskas; Leitao, Paulo (2021). Low-cost indoor localization system combining multilateration and Kalman filter. In 30th IEEE International Symposium on Industrial Electronics, ISIE 2021. p. 1-6. ISBN 978-1-7281-9023-5pt_PT
dc.identifier.doi10.1109/ISIE45552.2021.9576353pt_PT
dc.identifier.isbn978-1-7281-9023-5
dc.identifier.urihttp://hdl.handle.net/10198/24205
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.relationResearch Centre in Digitalization and Intelligent Robotics
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectIndoor positioning systempt_PT
dc.subjectInternet of thingspt_PT
dc.subjectBluetooth low energypt_PT
dc.subjectKalman filteringpt_PT
dc.subjectMultilaterationpt_PT
dc.titleLow-cost indoor localization system combining multilateration and Kalman filterpt_PT
dc.typeconference paper
dspace.entity.typePublication
oaire.awardTitleResearch Centre in Digitalization and Intelligent Robotics
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F05757%2F2020/PT
oaire.citation.endPage6pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.title30th IEEE International Symposium on Industrial Electronics, ISIE 2021pt_PT
oaire.fundingStream6817 - DCRRNI ID
person.familyNameOliveira
person.familyNameLeitão
person.givenNameLeonardo Sestrem de
person.givenNamePaulo
person.identifierA-8390-2011
person.identifier.ciencia-id6F18-DAD8-ACDC
person.identifier.ciencia-id8316-8F13-DA71
person.identifier.orcid0000-0002-9344-3075
person.identifier.orcid0000-0002-2151-7944
person.identifier.scopus-author-id35584388900
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
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relation.isAuthorOfPublication68d9eb25-ad4f-439b-aeb2-35e8708644cc
relation.isAuthorOfPublication.latestForDiscoveryd39f1e66-56e1-472d-8897-969476357c9b
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