DocumentCode :
1636011
Title :
Indoor navigation using WiFi signals
Author :
Vilaseca, David Ivan ; Giribet, Juan Ignacio
Author_Institution :
Sch. of Electron. Eng., Univ. of Buenos Aires, Buenos Aires, Argentina
fYear :
2013
Firstpage :
1
Lastpage :
6
Abstract :
Every day we use location-dependant services, but there is still a lack of information in terms of a popular indoor location system. In this paper we show methods and some advantages of using already installed infraestructure such as WiFi Access Points to get navigation information. For these purpose an indoor navigation system was implemented using both inertial sensors and WiFi signal strength information. The whole system architectute, both hardware and software, is designed with a modular aproach in order to make easy the test and benchmark of different algotithms and data fusion techniques. Basic algorithms have been implemented to validate the whole system using simulated data through a software-in-the-loop setup.
Keywords :
indoor radio; sensor fusion; wireless LAN; Wi-Fi access points; Wi-Fi signal strength information; data fusion; indoor location system; indoor navigation; inertial sensors; location-dependant services; navigation information; software-in-the-loop setup; Bayes methods; IEEE 802.11 Standards; Inertial navigation; Kalman filters; Sensors; Velocity measurement; Indoor Navigation; Integrated Navigation; WiFi RSSI;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Embedded Systems (SASE/CASE), 2013 Fourth Argentine Symposium and Conference on
Conference_Location :
Buenos Aires
Print_ISBN :
978-1-4799-1098-4
Type :
conf
DOI :
10.1109/SASE-CASE.2013.6636772
Filename :
6636772
Link To Document :
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