• DocumentCode
    711906
  • Title

    An RFID-Based Dynamic Positioning Scheme with MATLAB GUI

  • Author

    Mengna Xie ; Mei Wang ; Zhenghong Liu

  • Author_Institution
    PLA Troops, Guilin Univ. of Electron. Technol. (GUET), Guilin, China
  • fYear
    2015
  • fDate
    24-26 April 2015
  • Firstpage
    582
  • Lastpage
    586
  • Abstract
    This paper focuses on a RFID-Based dynamic positioning scheme, aiming to locate an object by using a moving RFID reader and reference tags without recording any measurement data, e.g., the time of arrival (TOA) of the signal, or the received signal strength indication (RSSI). To address the problem of blindness of location path, a RFID-based positioning scheme with MATLAB GUI, is proposed based on the theory of the original dynamic positioning method. The status of all the tags read by moving reader can be monitored whenever necessary. Moreover, a power-adjustable method of location path is proposed for saving positioning time. Results of experiments indicate that the proposed dynamic positioning scheme is user-friendly control and can positioning accurately with low cost, which would be applied in localization of warehouse management in the future.
  • Keywords
    graphical user interfaces; mathematics computing; radiofrequency identification; radionavigation; telecommunication computing; time-of-arrival estimation; Matlab GUI; RFID-based dynamic positioning scheme; RSSI; location path; measurement data; moving RFID reader; power-adjustable method; received signal strength indication; reference tags; time of arrival estimation; user-friendly control; warehouse management localization; Accuracy; Arrays; Computational modeling; Graphical user interfaces; MATLAB; Mathematical model; Radiofrequency identification; MATLAB GUI; RFID; indoor positioning; reader; reference tags;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Control Engineering (ICISCE), 2015 2nd International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4673-6849-0
  • Type

    conf

  • DOI
    10.1109/ICISCE.2015.135
  • Filename
    7120675