• DocumentCode
    122954
  • Title

    Particle filter-assisted positioning method for identifying RFID-tag implanted in the organism

  • Author

    Imai, G. ; Matsuda, Keisuke ; Takahata, H. ; Okada, Masayuki

  • Author_Institution
    Nara Inst. of Sci. & Technol., Ikoma, Japan
  • fYear
    2014
  • fDate
    17-20 Feb. 2014
  • Firstpage
    313
  • Lastpage
    316
  • Abstract
    This paper proposes a three-dimensional positioning method using particle filter for identifying a miniature RFID (Radio Frequency Identification) tag implanted in the organism. The RFID-based tumor marker for identifying the position and size of the tumor has been proposed. Although it is efficient in some applications, it takes a long time to point out the position because of scanning the sensor antenna for wide area of interest. Furthermore, the position is often lost due to motion of the organism. In order to find and track the RFID-tag position, this paper introduces a particle filter-assisted three-dimensional positioning method. The likelihood function, which is not only take into account the received signal power, but also the attitude and position of the sensor antenna and the motion of the RFID-tag, is applied to the particle filter to estimate the position. Computer simulation result shows that the proposed scheme is capable of estimating the three-dimensional position of the RFID-tag.
  • Keywords
    cancer; particle filtering (numerical methods); position control; radiofrequency identification; surgery; tumours; RFID tag; likelihood function; particle filter-assisted positioning method; radiofrequency identification tag; sensor antenna; three-dimensional positioning method; tumor marker; tumor position; tumor size; Antenna measurements; Atmospheric measurements; Directive antennas; Particle measurements; Robot sensing systems; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Engineering (MECBME), 2014 Middle East Conference on
  • Conference_Location
    Doha
  • Type

    conf

  • DOI
    10.1109/MECBME.2014.6783267
  • Filename
    6783267