• DocumentCode
    131644
  • Title

    Optimized recovery of collided chipless RFID signals using Fractional Fourier Transform

  • Author

    Lopes, Camila D. R. ; Gurjao, Edmar C. ; De Assis, Francisco M.

  • Author_Institution
    Electr. Eng. Dept. (DEE), Fed. Univ. of Campina Grande (UFCG), Campina Grande, Brazil
  • fYear
    2014
  • fDate
    8-9 Sept. 2014
  • Firstpage
    91
  • Lastpage
    96
  • Abstract
    Chipless RFID systems appears as an alternative to reduce the costs of RFID systems by using tags without a chip. The design of these new systems impose some challenges as the design of a tag, processing the signal reflected by the tag, among others. In this paper we consider the problem of collisions in the signal reflected simultaneously by various tags, and the recovery of information in these collided signals. The problem is treated by processing the signals received by the reader using the Fractional Fourier Transform - FrFT and the binary information is recovered using the minimum distance detection concepts. Presented simulation results show the effectiveness of the proposed method.
  • Keywords
    Fourier transforms; radiofrequency identification; signal detection; FrFT; binary information; collided chipless RFID signals; distance detection; fractional Fourier transform; optimized recovery; signal reflected processing; Chirp; Equations; Fourier transforms; Radiofrequency identification; Time-frequency analysis; Fractional Fourier Transform; RFID; chipless; data decoding; signal processing; spectral signature;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    RFID Technology and Applications Conference (RFID-TA), 2014 IEEE
  • Conference_Location
    Tampere
  • Type

    conf

  • DOI
    10.1109/RFID-TA.2014.6934207
  • Filename
    6934207