Accuracy 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
• Date: 2023
• Persistent ID: https://hdl.handle.net/1822/86277
• Origin: RepositóriUM - Universidade do Minho
• Subject(s): Error propagation; Fingerprinting methods; Indoor positioning
• Document Type: Journal article
• Language: English
• Contributor(s): Universidade do Minho

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.