• DocumentCode
    1670776
  • Title

    Tracking with RFID asynchronous measurements by particle filtering

  • Author

    Li Geng ; Bugallo, Monica F. ; Djuric, P.M.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Stony Brook Univ., Stony Brook, NY, USA
  • fYear
    2013
  • Firstpage
    4051
  • Lastpage
    4055
  • Abstract
    This paper deals with the problem of real-time indoor tracking of tagged objects in Ultra High Frequency Radio Frequency Identification systems with asynchronous measurements. A new and more realistic model of the system is proposed, where the probability of detecting a tag by a reader is described by a function of both the distance and the angle between the tag and the reader´s antenna. The model also accounts for the possibility of a tag being in a dead-zone where the tag cannot be detected. For tracking, we propose the use of the particle filtering methodology that takes into account the asynchronous nature of the measurements. The parameters for modeling the resulting system are obtained from real-world experiments and the performance of the algorithm is shown by extensive computer simulations.
  • Keywords
    antennas; object tracking; particle filtering (numerical methods); radiofrequency identification; RFID asynchronous measurements; particle filtering; reader antenna; real-time indoor tracking; realistic model; tag detection; tag reader; tagged objects; ultra high frequency radio frequency identification systems; Antenna measurements; Antennas; Atmospheric measurements; Frequency measurement; Particle measurements; Radiofrequency identification; Time measurement; Radio Frequency Identification (RFID); asynchronous measurements; particle filtering; real time tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on
  • Conference_Location
    Vancouver, BC
  • ISSN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2013.6638420
  • Filename
    6638420