Influence of Measured Radio Map Interpolation on Indoor Positioning Algorithms

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dc.contributor.authorBravenec, Tomášcs
dc.contributor.authorGould, Michaelcs
dc.contributor.authorFrýza, Tomášcs
dc.contributor.authorTorres-Sospedra, Joaquíncs
dc.coverage.issue17cs
dc.coverage.volume23cs
dc.date.issued2023-07-24cs
dc.description.abstractIndoor positioning and navigation increasingly has become popular and there are many different approaches, using different technologies. In nearly all of the approaches the locational accuracy depends on signal propagation characteristics of the environment. What makes many of these approaches similar is the requirement of creating a signal propagation Radio Map (RM) by analysing the environment. As this is usually done on a regular grid, the collection of Received Signal Strength Intensity (RSSI) data at every Reference Point (RP) of a RM is a time consuming task. With indoor positioning being in the focus of the research community, the reduction in time required for collection of RMs is very useful as it allows researchers to spend more time with research instead of data collection. In this paper we analyse the options for reducing the time required for the acquisition of RSSI information. We approach this by collecting initial RMs of Wi-Fi signal strength using 5 ESP32 micro controllers working in monitoring mode and placed around our office. We then analyse the influence the approximation of RSSI values in unreachable places has, by using linear interpolation and Gaussian Process Regression (GPR) to find balance between final positioning accuracy, computing complexity, and time requirements for the initial data collection. We conclude that the computational requirements can be significantly lowered, while not affecting the positioning error, by using RM with a single sample per RP generated considering many measurements.en
dc.formattextcs
dc.format.extent20044-20054cs
dc.format.mimetypeapplication/pdfcs
dc.identifier.citationIEEE SENSORS JOURNAL. 2023, vol. 23, issue 17, p. 20044-20054.en
dc.identifier.doi10.1109/JSEN.2023.3296752cs
dc.identifier.issn1530-437Xcs
dc.identifier.orcid0000-0001-5749-8389cs
dc.identifier.orcid0000-0001-7313-6142cs
dc.identifier.other184028cs
dc.identifier.scopus6507475832cs
dc.identifier.urihttp://hdl.handle.net/11012/214349
dc.language.isoencs
dc.publisherIEEEcs
dc.relation.ispartofIEEE SENSORS JOURNALcs
dc.relation.urihttps://ieeexplore.ieee.org/document/10192546cs
dc.rights(C) IEEEcs
dc.rights.accessopenAccesscs
dc.rights.sherpahttp://www.sherpa.ac.uk/romeo/issn/1530-437X/cs
dc.subjectIndoor Localizationen
dc.subjectIndoor Positioningen
dc.subjectInterpolationen
dc.subjectRadio Mapen
dc.subjectRSSIen
dc.subjectWi-Fien
dc.subjectWireless communicationen
dc.titleInfluence of Measured Radio Map Interpolation on Indoor Positioning Algorithmsen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionacceptedVersionen
sync.item.dbidVAV-184028en
sync.item.dbtypeVAVen
sync.item.insts2025.02.03 15:41:48en
sync.item.modts2025.01.17 15:17:59en
thesis.grantorVysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií. Ústav radioelektronikycs
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