• DocumentCode
    629493
  • Title

    Real-time RFID localization using RSS

  • Author

    Chawla, Kirti ; McFarland, Christopher ; Robins, Garry ; Shope, Connor

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Virginia, Charlottesville, VA, USA
  • fYear
    2013
  • fDate
    25-27 June 2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    New computing paradigms have underscored the need to locate objects in an environment, motivating several object localization approaches targeting competing technologies and specific applications. While RFID technology recently emerged as a viable platform for locating objects, several unresolved key challenges precluded higher performance and wider applicability. We present an RFID-based real-time location system that uses Received Signal Strength (RSS) to better model the distance-decaying behavior of radio signals in an orientation-agnostic manner.We experimentally leverage the proposed robust models to simultaneously locate several stationary and mobile objects tagged with passive tags in a realistically noisy indoor environment, with an average accuracy of 0.6 meters. A more general conclusion of this work is that contrary to common belief, RSS can indeed serve as reliable metric for a variety of select applications, including localization.
  • Keywords
    indoor communication; mobile radio; radiofrequency identification; 3D space; RFID-based real-time location system; RSS decay models; automatic calibration procedure; distance-decaying behavior; mobile objects; noisy indoor environment; passive tags; radio signals; received signal strength; Accuracy; Antenna measurements; Antenna radiation patterns; Mobile communication; Power generation; Radiofrequency identification; Real-time systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Localization and GNSS (ICL-GNSS), 2013 International Conference on
  • Conference_Location
    Turin
  • ISSN
    2325-0747
  • Print_ISBN
    978-1-4799-0484-6
  • Type

    conf

  • DOI
    10.1109/ICL-GNSS.2013.6577259
  • Filename
    6577259