• DocumentCode
    3306552
  • Title

    Wireless node localization based on RSSI using a rotating antenna on a mobile robot

  • Author

    Graefenstein, Juergen ; Albert, Amos ; Biber, Peter ; Schilling, Andreas

  • fYear
    2009
  • fDate
    19-19 March 2009
  • Firstpage
    253
  • Lastpage
    259
  • Abstract
    Determining the physical location of radio nodes is crucial in a wireless sensor network in order to geo-reference the sensor information. This paper presents a localization technique using a mobile radio node attached to a robot. Its position is given by a real time kinematic (RTK) GPS. We propose a new method to obtain the relative bearing between the mobile and the static node using commodity radio hardware. The method exploits the anisotropy of the antenna gain and is not only more precise than the mapping of the RSSI to distance only, it also allows to monitor the integrity of the measurement. Experimental results in an outdoor environment show a standard deviation of 5. for the angle of arrival. The applicability of the approach for the localization of static radio nodes is demonstrated by means of a particle filter. The mean error of the position for experimental data is approximately 13 cm.
  • Keywords
    direction-of-arrival estimation; mobile robots; mobility management (mobile radio); particle filtering (numerical methods); wireless sensor networks; Global Positioning System; angle of arrival estimation; mobile radio node; mobile robot; particle filter; received signal strength indicator; rotating antenna; static radio nodes; wireless node localization; wireless sensor network; Anisotropic magnetoresistance; Global Positioning System; Hardware; Kinematics; Land mobile radio; Mobile antennas; Mobile robots; Monitoring; Robot sensing systems; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Positioning, Navigation and Communication, 2009. WPNC 2009. 6th Workshop on
  • Conference_Location
    Hannover
  • Print_ISBN
    978-1-4244-3292-9
  • Electronic_ISBN
    978-1-4244-3293-6
  • Type

    conf

  • DOI
    10.1109/WPNC.2009.4907835
  • Filename
    4907835