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

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 i...

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Bibliographic Details
Published in2017 Sensor Data Fusion: Trends, Solutions, Applications (SDF) pp. 1 - 6
Main Authors Kram, Sebastian, Nickel, Christian, Seitz, Jochen, Patino-Studencka, Lucila, Thielecke, Jorn
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2017
Subjects
Fading channels
Fingerprint recognition
Indoor navigation
Interpolation
Simulation
Stochastic processes
Wireless fidelity
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Summary: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 dependency 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.
DOI:10.1109/SDF.2017.8126382