Title :
3D WLAN indoor positioning in multi-storey buildings
Author :
Gansemer, S. ; Hakobyan, S. ; Püschel, S. ; Grosmann, U.
Author_Institution :
Univ. of Appl. Sci. & Arts Dortmund, Dortmund, Germany
Abstract :
Many scenarios for indoor positioning require position estimation not only in two dimensions but in the third dimension as well. This paper presents the expansion of two two-dimensional WLAN fingerprinting localization algorithms based on received signal strength indication (RSSI) to the third dimension. The third dimension is regarded discretely as the floor level. Both algorithms were evaluated in two different test beds. Evaluation results will be presented and discussed.
Keywords :
indoor radio; radio direction-finding; wireless LAN; 3D WLAN indoor positioning; multistorey building; position estimation; received signal strength indication; two-dimensional WLAN fingerprinting localization; Calibration; Engines; Fingerprint recognition; Floors; Fuzzy logic; Indoor environments; Inference algorithms; Position measurement; Testing; Wireless LAN; 3D-Positioning; Euclidean Distance; Indoor; Isolines; Localization; RSSI; WLAN;
Conference_Titel :
Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2009. IDAACS 2009. IEEE International Workshop on
Conference_Location :
Rende
Print_ISBN :
978-1-4244-4901-9
Electronic_ISBN :
978-1-4244-4882-1
DOI :
10.1109/IDAACS.2009.5342893
