• DocumentCode
    3715859
  • Title

    Partial Fractional Fourier Transform (PFRFT)-OFDM for underwater acoustic communication

  • Author

    Yixin Chen;Carmine Clemente;John J. Soraghan;Stephan Weiss

  • Author_Institution
    Centre for Excellence in Signal and Image Processing (CeSIP), University of Strathclyde, Royal College Building, 204 George Street, Glasgow, UK
  • fYear
    2015
  • Firstpage
    364
  • Lastpage
    368
  • Abstract
    Communication over doubly selective channels (both time and frequency selective) suffers from significant intercarrier interference (ICI). This problem is severe in underwater acoustic communications. In this paper, a new Partial Fractional Fourier (PFrFT) based orthogonal frequency division multiplex (OFDM) scenario is presented for dealing with such challenges. A band minimum mean square error (BMMSE) weight combining equalizer based on Least Square MINRES (LSMR) iterative algorithm is used in the proposed communication system. Simulation results demonstrate significant BER performance improvements (up to 8dB) over traditional orthogonal based methods and those considering Partial FFT demodulation, and Discrete Fractional Fourier Transform (DFrFT) with only a moderate computational complexity increase.
  • Keywords
    "OFDM","Complexity theory","Fourier transforms","Equalizers","Demodulation","Signal to noise ratio","Bit error rate"
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Conference (EUSIPCO), 2015 23rd European
  • Electronic_ISBN
    2076-1465
  • Type

    conf

  • DOI
    10.1109/EUSIPCO.2015.7362406
  • Filename
    7362406