Accuracy of a single position estimate for <italic>k</italic>NN-based fingerprinting indoor positioning applying error propagation theory

Detalhes bibliográficos
Autor(a) principal: Perez-Navarro, Antoni
Data de Publicação: 2023
Outros Autores: Montoliu, Raul, Sansano-Sansano, Emilio, Martinez-Garcia, Marina, Femenia, Ruben, Torres-Sospedra, Joaquín
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://hdl.handle.net/1822/86277
Resumo: Indoor Positioning Systems usually consider the average positioning error over a set of evaluation samples, or a quartile of that value, as the global error. However, they do not provide a metric for the uncertainty for each individual position estimation. In this paper, we apply the error propagation theory to the kNN algorithm in Wi-Fi fingerprint-based indoor positioning. Our proposed method does not only retrieve the position estimate but also describes how the uncertainties of the RSSI measurements propagate through the calculations. We have validated our proposed method with two open-access datasets.
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spelling Accuracy of a single position estimate for <italic>k</italic>NN-based fingerprinting indoor positioning applying error propagation theoryError propagationFingerprinting methodsIndoor positioningCiências Naturais::Ciências da Computação e da InformaçãoIndoor Positioning Systems usually consider the average positioning error over a set of evaluation samples, or a quartile of that value, as the global error. However, they do not provide a metric for the uncertainty for each individual position estimation. In this paper, we apply the error propagation theory to the kNN algorithm in Wi-Fi fingerprint-based indoor positioning. Our proposed method does not only retrieve the position estimate but also describes how the uncertainties of the RSSI measurements propagate through the calculations. We have validated our proposed method with two open-access datasets.This work was supported in part by projects Grant PID2021-1226420B-C44 funded AEI/10.13039/501100011033/FEDER,UE, Grant PID2021-1226420B-C42 funded AEI/10.13039/501100011033/FEDER,UE, Grant TED2021-199866B–I00 funded AEI/10.13039/501100011033/ European Union NextGenerationEU/PRTR , UJI-A2022-12, CYTED Network “GeoLibero” and H2020-MSCA-IF 101023072.IEEEUniversidade do MinhoPerez-Navarro, AntoniMontoliu, RaulSansano-Sansano, EmilioMartinez-Garcia, MarinaFemenia, RubenTorres-Sospedra, Joaquín20232023-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/1822/86277engA. Pérez-Navarro, R. Montoliu, E. Sansano-Sansano, M. Martínez-Garcia, R. Femenía and J. Torres-Sospedra, "Accuracy of a Single Position Estimate for kNN-Based Fingerprinting Indoor Positioning Applying Error Propagation Theory," in IEEE Sensors Journal, vol. 23, no. 16, pp. 18765-18775, 15 Aug.15, 2023, doi: 10.1109/JSEN.2023.3287856.1530-437X1558-174810.1109/JSEN.2023.3287856https://ieeexplore.ieee.org/document/10161717info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-09-30T01:31:59Zoai:repositorium.sdum.uminho.pt:1822/86277Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:28:42.919720Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Accuracy of a single position estimate for <italic>k</italic>NN-based fingerprinting indoor positioning applying error propagation theory
title Accuracy of a single position estimate for <italic>k</italic>NN-based fingerprinting indoor positioning applying error propagation theory
spellingShingle Accuracy of a single position estimate for <italic>k</italic>NN-based fingerprinting indoor positioning applying error propagation theory
Perez-Navarro, Antoni
Error propagation
Fingerprinting methods
Indoor positioning
Ciências Naturais::Ciências da Computação e da Informação
title_short Accuracy of a single position estimate for <italic>k</italic>NN-based fingerprinting indoor positioning applying error propagation theory
title_full Accuracy of a single position estimate for <italic>k</italic>NN-based fingerprinting indoor positioning applying error propagation theory
title_fullStr Accuracy of a single position estimate for <italic>k</italic>NN-based fingerprinting indoor positioning applying error propagation theory
title_full_unstemmed Accuracy of a single position estimate for <italic>k</italic>NN-based fingerprinting indoor positioning applying error propagation theory
title_sort Accuracy of a single position estimate for <italic>k</italic>NN-based fingerprinting indoor positioning applying error propagation theory
author Perez-Navarro, Antoni
author_facet Perez-Navarro, Antoni
Montoliu, Raul
Sansano-Sansano, Emilio
Martinez-Garcia, Marina
Femenia, Ruben
Torres-Sospedra, Joaquín
author_role author
author2 Montoliu, Raul
Sansano-Sansano, Emilio
Martinez-Garcia, Marina
Femenia, Ruben
Torres-Sospedra, Joaquín
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.fl_str_mv Perez-Navarro, Antoni
Montoliu, Raul
Sansano-Sansano, Emilio
Martinez-Garcia, Marina
Femenia, Ruben
Torres-Sospedra, Joaquín
dc.subject.por.fl_str_mv Error propagation
Fingerprinting methods
Indoor positioning
Ciências Naturais::Ciências da Computação e da Informação
topic Error propagation
Fingerprinting methods
Indoor positioning
Ciências Naturais::Ciências da Computação e da Informação
description Indoor Positioning Systems usually consider the average positioning error over a set of evaluation samples, or a quartile of that value, as the global error. However, they do not provide a metric for the uncertainty for each individual position estimation. In this paper, we apply the error propagation theory to the kNN algorithm in Wi-Fi fingerprint-based indoor positioning. Our proposed method does not only retrieve the position estimate but also describes how the uncertainties of the RSSI measurements propagate through the calculations. We have validated our proposed method with two open-access datasets.
publishDate 2023
dc.date.none.fl_str_mv 2023
2023-01-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://hdl.handle.net/1822/86277
url https://hdl.handle.net/1822/86277
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv A. Pérez-Navarro, R. Montoliu, E. Sansano-Sansano, M. Martínez-Garcia, R. Femenía and J. Torres-Sospedra, "Accuracy of a Single Position Estimate for kNN-Based Fingerprinting Indoor Positioning Applying Error Propagation Theory," in IEEE Sensors Journal, vol. 23, no. 16, pp. 18765-18775, 15 Aug.15, 2023, doi: 10.1109/JSEN.2023.3287856.
1530-437X
1558-1748
10.1109/JSEN.2023.3287856
https://ieeexplore.ieee.org/document/10161717
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv IEEE
publisher.none.fl_str_mv IEEE
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
_version_ 1799133555172835328

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