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Spatial interpolation of Wi-Fi RSS fingerprints using model-based universal kriging

: Kram, S.; Nickel, C.; Seitz, J.; Patino-Studencka, L.; Thielecke, J.


Institute of Electrical and Electronics Engineers -IEEE-; IEEE Aerospace and Electronic Systems Society -AESS-; International Society of Information Fusion -ISIF-:
Symposium on Sensor Data Fusion: Trends, Solutions, Applications, SDF 2017 : Bonn, Germany, October 10-12, 2017
Piscataway, NJ: IEEE, 2017
ISBN: 978-1-5386-3103-4
ISBN: 978-1-5386-3102-7
ISBN: 978-1-5386-3104-1
Symposium on Sensor Data Fusion - Trends, Solutions, Applications (SDF) <11, 2017, Bonn>
Fraunhofer IIS ()

Wi-Fi RSS Fingerprint based navigation has enjoyed increasing popularity as a solution for indoor navigation in the last decade. Recently, methods for interpolation of Wi-Fi databases have become the focus of research. This paper shows how common models for Wi-Fi signal propagation can be included into the interpolation method by using universal Kriging, a method that relies on mixed model containing both spatially stochastic and deterministic components. It is shown that, theoretically, it can achieve a very precise reproduction of the spatial distribution of Wi-Fi RSS. The major remaining challenge of this method, however, is to find a suitable representation of the spatial depedency in the variogram, which cannot be estimated properly from recorded Wi-Fi signals. Both the high potential and this vulnerability are highlighted using simulation and measurement results.