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Influence of Measured Radio Map Interpolation on Indoor Positioning Algorithms
dc.contributor.author | Bravenec, Tomáš | |
dc.contributor.author | Gould, Michael | |
dc.contributor.author | Fryza, Tomas | |
dc.contributor.author | Torres-Sospedra, Joaquín | |
dc.date.accessioned | 2023-12-18T08:19:46Z | |
dc.date.available | 2023-12-18T08:19:46Z | |
dc.date.issued | 2023-07-24 | |
dc.identifier.citation | T. Bravenec, M. Gould, T. Fryza and J. Torres-Sospedra, "Influence of Measured Radio Map Interpolation on Indoor Positioning Algorithms," in IEEE Sensors Journal, vol. 23, no. 17, pp. 20044-20054, 1 Sept.1, 2023 | ca_CA |
dc.identifier.issn | 1530-437X | |
dc.identifier.uri | http://hdl.handle.net/10234/205202 | |
dc.description.abstract | Indoor positioning and navigation increasingly have 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 analyzing the environment. As this is usually done on a regular grid, the collection of received signal strength indicator (RSSI) data at every reference point (RP) of an 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 article, we analyze 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 five ESP32 microcontrollers working in monitoring mode and placed around our office. We then analyze the influence the approximation of RSSI values in unreachable places has, by using linear interpolation and Gaussian process regression (GPR) to find balance among 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. | ca_CA |
dc.description.sponsorShip | This work was supported in part by the European Union’s Horizon 2020 Research and Innovation Program within the Project “A Network for Dynamic Wearable Applications With Privacy Constraints (A-WEAR)” through the Marie Skłodowska Curie Grant under Agreement 813278 and in part by the European Union’s Horizon 2020 Research and Innovation Program within the Project “Low-Cost Reliable Indoor Positioning in Smart Factories (ORIENTATE)” through the Marie Skłodowska Curie Grant under Agreement 101023072. T | |
dc.format.extent | 11 p. | ca_CA |
dc.format.mimetype | application/pdf | ca_CA |
dc.language.iso | eng | ca_CA |
dc.publisher | IEEE | ca_CA |
dc.relation.isPartOf | IEEE Sensors Journal, Volume 23, Issue 17 (September 2023) | ca_CA |
dc.rights | © 2023 IEEE. | |
dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | ca_CA |
dc.subject | indoor localization | ca_CA |
dc.subject | indoor positioning | ca_CA |
dc.subject | interpolation | ca_CA |
dc.subject | radio map (RM) | ca_CA |
dc.subject | received signal strength indicator (RSSI) | ca_CA |
dc.subject | Wi-Fi | ca_CA |
dc.subject | wireless communication | ca_CA |
dc.title | Influence of Measured Radio Map Interpolation on Indoor Positioning Algorithms | ca_CA |
dc.type | info:eu-repo/semantics/article | ca_CA |
dc.identifier.doi | 10.1109/JSEN.2023.3296752 | |
dc.relation.projectID | info:eu-repo/grantAgreement/EC/H2020/813278 | |
dc.relation.projectID | info:eu-repo/grantAgreement/EC/H2020/101023072 | |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | ca_CA |
dc.relation.publisherVersion | https://ieeexplore.ieee.org/abstract/document/10192546 | ca_CA |
dc.type.version | info:eu-repo/semantics/acceptedVersion | ca_CA |
project.funder.name | European Comission |
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