• 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