• DocumentCode
    2079793
  • Title

    Novel algorithm for STBC-OFDM identification in cognitive radios

  • Author

    Marey, Mohamed ; Dobre, Octavia A. ; Inkol, R.

  • Author_Institution
    Fac. of Eng. & Appl. Sci., Memorial Univ. of Newfoundland, St. John´s, NL, Canada
  • fYear
    2013
  • fDate
    9-13 June 2013
  • Firstpage
    2770
  • Lastpage
    2774
  • Abstract
    This paper develops a space-time block code (STBC) identification algorithm for multi-antenna (MA) orthogonal frequency-division multiplexing (OFDM) transmission over frequency-selective channels. We show that, by taking advantage of the space-time redundancy, signal identification can be performed by exploiting the cross-correlation of the received signals from two antennas as a discriminating feature. With this feature, we develop a binary hypothesis test for decision making. The proposed algorithm does not require information about the channel coefficients, modulation, noise power, or start times of the OFDM and STBC blocks. Moreover, it does not need accurate clock timing information. Simulation experiments have verified the accuracy and feasibility of the proposed algorithm.
  • Keywords
    OFDM modulation; antenna arrays; cognitive radio; decision making; frequency selective surfaces; space-time block codes; OFDM transmission; STBC blocks; STBC identification algorithm; STBC-OFDM identification; binary hypothesis test; channel coefficients; clock timing information; cognitive radios; cross correlation; decision making; discriminating feature; frequency-selective channels; modulation; multiantenna; noise power; orthogonal frequency-division multiplexing; received signals; signal identification; space-time block code; space-time redundancy; Modulation; OFDM; Receiving antennas; Signal to noise ratio; Transmitting antennas; Vectors; Blind signal identification; Multi-carrier transmission; Space-time block codes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications (ICC), 2013 IEEE International Conference on
  • Conference_Location
    Budapest
  • ISSN
    1550-3607
  • Type

    conf

  • DOI
    10.1109/ICC.2013.6654958
  • Filename
    6654958