Please use this identifier to cite or link to this item: https://hdl.handle.net/1822/86277

TitleAccuracy of a single position estimate for <italic>k</italic>NN-based fingerprinting indoor positioning applying error propagation theory
Author(s)Perez-Navarro, Antoni
Montoliu, Raul
Sansano-Sansano, Emilio
Martinez-Garcia, Marina
Femenia, Ruben
Torres-Sospedra, Joaquín
KeywordsError propagation
Fingerprinting methods
Indoor positioning
Issue date2023
PublisherIEEE
JournalIEEE Sensors Journal
CitationA. 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.
Abstract(s)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.
TypeArticle
URIhttps://hdl.handle.net/1822/86277
DOI10.1109/JSEN.2023.3287856
ISSN1530-437X
e-ISSN1558-1748
Publisher versionhttps://ieeexplore.ieee.org/document/10161717
Peer-Reviewedyes
AccessOpen access
Appears in Collections:CAlg - Artigos em revistas internacionais / Papers in international journals

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