DocumentCode :
2388527
Title :
Tuning to your position: FM radio based indoor localization with spontaneous recalibration
Author :
Matic, Aleksandar ; Papliatseyeu, Andrei ; Osmani, Venet ; Mayora-Ibarra, Oscar
Author_Institution :
CREATE-NET, Trento, Italy
fYear :
2010
fDate :
March 29 2010-April 2 2010
Firstpage :
153
Lastpage :
161
Abstract :
Position of mobile users has become highly important information in pervasive computing environments. Indoor localization systems based on Wi-Fi signal strength fingerprinting techniques are widely used in office buildings with existing Wi-Fi infrastructure. Our previous work has proposed a solution based on exploitation of FM signal to deal with environments not covered with Wi-Fi signal or environments with only single Wi-Fi access point. However, a general problem of indoor wireless positioning systems pertains to signal degradation due to the environmental factors affecting signal propagation. Therefore, in order to maintain a desirable level of localization accuracy, it becomes necessary to perform periodic calibration of the system, which is either time consuming or requires dedicated equipment and expert knowledge. In this paper, we present a comparison of FM versus Wi-Fi positioning systems and a combination of both systems, exploiting their strengths for indoors positioning. Finally, we address the problem of recalibration by introducing a novel concept of spontaneous recalibration and demonstrate it using the FM localization system.
Keywords :
fingerprint identification; indoor radio; mobility management (mobile radio); ubiquitous computing; wireless LAN; FM radio; Indoor localization systems; Wi-Fi access point; Wi-Fi signal strength fingerprinting techniques; indoor wireless positioning systems; pervasive computing environments; signal degradation; spontaneous recalibration; Calibration; Costs; Databases; Degradation; Environmental factors; Fingerprint recognition; Fluctuations; Hardware; Mobile computing; Pervasive computing; FM localization; indoor positioning; signal fingerprinting; spontaneous calibration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pervasive Computing and Communications (PerCom), 2010 IEEE International Conference on
Conference_Location :
Mannheim
Print_ISBN :
978-1-4244-5329-0
Electronic_ISBN :
978-1-4244-5328-3
Type :
conf
DOI :
10.1109/PERCOM.2010.5466981
Filename :
5466981
Link To Document :
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