• DocumentCode
    3321730
  • Title

    Low-complexity LSMR equalisation of FrFT-based multicarrier systems in doubly dispersive channels

  • Author

    Solyman, Ahmed A A ; Weiss, Stephan ; Soraghan, John J.

  • Author_Institution
    Dept. of Electron. & Electr. Eng., Univ. of Strathclyde, Glasgow, UK
  • fYear
    2011
  • fDate
    14-17 Dec. 2011
  • Firstpage
    461
  • Lastpage
    465
  • Abstract
    The discrete fractional Fourier transform (FrFT) has been suggested to enhance performance over DFT-based multicarrier systems when transmitting over doubly-dispersive channels. In this paper, we propose a novel low-complexity equaliser for inter-symbol and inter-carrier interference arising in such multicarrier transmission system. Due to a lower spreading in the FrFT-domain compared to the DFT channel matrix as compared to the DFT domain, the equaliser can approximate the fractional-domain channel matrix by a band matrix. Further, we utilise the least squares minres (LSMR) algorithm in the calculation of the equalisation, which exhibits attractive numerical properties and low complexity. Simulation results demonstrate the superior performance of the proposed LSMR equaliser over benchmark schemes.
  • Keywords
    discrete Fourier transforms; dispersive channels; equalisers; intercarrier interference; interference suppression; intersymbol interference; least squares approximations; matrix algebra; DFT channel matrix; DFT-based multicarrier systems; FrFT-based multicarrier system; LSMR equalisation; approximation theory; band matrix; discrete fractional Fourier transform; dispersive channel; fractional domain channel matrix; intercarrier interference; intersymbol interference; least squares minres algorithm; multicarrier transmission system; Bit error rate; Complexity theory; Discrete Fourier transforms; Dispersion; Doppler effect; OFDM; Multicarrier transmission; doubly dispersive channel; fractional Fourier Transformation; low complexity equalisation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Information Technology (ISSPIT), 2011 IEEE International Symposium on
  • Conference_Location
    Bilbao
  • Print_ISBN
    978-1-4673-0752-9
  • Electronic_ISBN
    978-1-4673-0751-2
  • Type

    conf

  • DOI
    10.1109/ISSPIT.2011.6151606
  • Filename
    6151606