Accuracy of a single position estimate for kNN-based fingerprinting indoor positioning applying error propagation theory
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Otros documentos de la autoría: Perez-Navarro, Antoni; Montoliu Colás, Raul; Sansano-Sansano, Emilio; Martínez Garcia, marina; Femenia, Ruben; Torres-Sospedra, Joaquín
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Mostrar el registro completo del ítemcomunitat-uji-handle:10234/9
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Título
Accuracy of a single position estimate for kNN-based fingerprinting indoor positioning applying error propagation theoryAutoría
Fecha de publicación
2023-06-23Editor
IEEEISSN
1530-437X; 1558-1748Cita bibliográfica
A. Pérez-Navarro, R. Montoliu, E. Sansano-Sansano, M. Martínez-Garcia, R. Femenia 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. doi: 10.1109/JSEN.2023.3287856.Tipo de documento
info:eu-repo/semantics/articleVersión
info:eu-repo/semantics/acceptedVersionPalabras clave / Materias
Resumen
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 ... [+]
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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