• DocumentCode
    3462444
  • Title

    Blind and semiblind detection of OFDM signals in the multipath fading channel

  • Author

    Chen, Jen-Hsien ; Chang, Ming-Xian

  • Author_Institution
    Dept. of Electr. Eng., Nat. Cheng-Kung Univ., Tainan, Taiwan
  • fYear
    2011
  • fDate
    5-9 Dec. 2011
  • Firstpage
    1409
  • Lastpage
    1413
  • Abstract
    This paper considers the problem of blind symbol detection for the orthogonal frequency-division multiplexing (OFDM) system in the multipath fading channel. Unlike [11] that uses a polynomial to model the variation of channel responses (CRs) across subchannels, we employ the model of channel impulse response (CIR) which takes into consideration of the correlation between the real and imaginary parts of CRs across subchannels. The branch-and-bound principle is used to solve the nonlinear integer programming problem associated with the blind detection problem. We further propose a method to obtain a better initial sequence in each tree search based on channel prediction, and this leads to the complexity reduction for the blind detection algorithm. Simulation results show that by using the CIR model in blind detection, we can obtain better performance than [11], and the complexity reduction based on a better initial sequence is effective.
  • Keywords
    OFDM modulation; communication complexity; fading channels; integer programming; multipath channels; nonlinear programming; transient response; tree searching; CIR model; OFDM signal; blind symbol detection algorithm; branch-and-bound principle; channel impulse response variation; complexity reduction; multipath fading channel prediction; nonlinear integer programming problem solving; orthogonal frequency division multiplexing system; semiblind detection problem; tree search; Channel estimation; Detection algorithms; Measurement; OFDM; Polynomials; Receivers; Vectors; OFDM; blind detection; multipath fading channels;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    GLOBECOM Workshops (GC Wkshps), 2011 IEEE
  • Conference_Location
    Houston, TX
  • Print_ISBN
    978-1-4673-0039-1
  • Electronic_ISBN
    978-1-4673-0038-4
  • Type

    conf

  • DOI
    10.1109/GLOCOMW.2011.6162418
  • Filename
    6162418