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  4. Spatial interpolation of Wi-Fi RSS fingerprints using model-based universal kriging
 
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2017
Conference Paper
Title

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

Abstract
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.
Author(s)
Kram, S.
Nickel, C.
Seitz, J.
Patino-Studencka, L.
Thielecke, J.
Mainwork
Symposium on Sensor Data Fusion: Trends, Solutions, Applications, SDF 2017  
Conference
Symposium on Sensor Data Fusion - Trends, Solutions, Applications (SDF) 2017  
DOI
10.1109/SDF.2017.8126382
Language
English
Fraunhofer-Institut für Integrierte Schaltungen IIS  
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