• DocumentCode
    2380235
  • Title

    Radiation pattern correlation for mobile robot localization in low power wireless networks

  • Author

    Graefenstein, Juergen ; Albert, Amos ; Biber, Peter

  • Author_Institution
    Corp. Res., Robert Bosch GmbH, Schwieberdingen, Germany
  • fYear
    2009
  • fDate
    12-17 May 2009
  • Firstpage
    3545
  • Lastpage
    3550
  • Abstract
    We present a new method for localization using received signal strength indicator (RSSI) in ordinary wireless communication networks such as specified by IEEE 802.15.4. The method exploits the anisotropy of the antenna gain to determine the bearing of the robot relative to reference radio nodes. This method is not only more precise than the mapping of the RSSI to distance only, it also allows to estimate the orientation of the robot and to monitor the integrity of the measurement. The integrity measure is also incorporated into the RSSI to distance mapping and a thorough error analysis is presented. The paper describes the localization concept and presents experimental results for mobile robot localization in an outdoor environment. The achieved accuracy is significantly increased compared to previously developed RSSI based localization methods.
  • Keywords
    antenna radiation patterns; distance measurement; mobile robots; path planning; radio networks; IEEE 802.15.4; RSSI; antenna gain; distance mapping; error analysis; integrity measure; low-power wireless communication network; mobile robot localization; outdoor environment; radiation pattern correlation; received signal strength indicator; robot orientation estimation; Anisotropic magnetoresistance; Antenna measurements; Antenna radiation patterns; Costs; Error analysis; Hardware; Mobile communication; Mobile robots; Wireless communication; Wireless networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 2009. ICRA '09. IEEE International Conference on
  • Conference_Location
    Kobe
  • ISSN
    1050-4729
  • Print_ISBN
    978-1-4244-2788-8
  • Electronic_ISBN
    1050-4729
  • Type

    conf

  • DOI
    10.1109/ROBOT.2009.5152379
  • Filename
    5152379