• DocumentCode
    3433192
  • Title

    Minimum mean square error turbo equalization of doubly selective channels using the BEM

  • Author

    Barhumi, Imad

  • Author_Institution
    Fac. of Eng., United Arab Emirates Univ., Al-Ain, United Arab Emirates
  • fYear
    2012
  • fDate
    2-5 July 2012
  • Firstpage
    951
  • Lastpage
    955
  • Abstract
    In this paper, linear minimum mean square error (LMMSE) turbo equalization for transmission over doubly selective channels is proposed for single carrier (SC) as well as for multi-carrier (MC) systems. The complex exponential basis expansion model (CE-BEM) is used to approximate the time-varying multi-path fading channel. In this BEM, the time-varying channel is viewed as a bank of time-invariant FIR filters and the time-variation is captured by means of time-varying complex exponential basis functions. Based on the Gaussian approximation, exact expressions for the a-priori, a-posteriori and extrinsic information are derived for QPSK modulation. The MC system is implemented using orthogonal frequency-division multiplexing (OFDM). The performance of the proposed turbo equalization schemes are evaluated using numerical simulations.
  • Keywords
    FIR filters; Gaussian processes; OFDM modulation; approximation theory; channel coding; fading channels; least mean squares methods; multipath channels; numerical analysis; quadrature phase shift keying; time-varying channels; turbo codes; CE-BEM; Gaussian approximation; LMMSE turbo code equalization; MC system; OFDM; QPSK modulation; SC system; a-posteriori information; a-priori information; doubly selective channel; extrinsic information; linear minimum mean square error turbo equalization scheme; multicarrier system; numerical simulation; orthogonal frequency-division multiplexing; single carrier system; time-invariant FIR filter; time-varying complex exponential basis function model; time-varying multipath fading channel; Covariance matrix; Decoding; Detectors; Equalizers; Frequency domain analysis; OFDM; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science, Signal Processing and their Applications (ISSPA), 2012 11th International Conference on
  • Conference_Location
    Montreal, QC
  • Print_ISBN
    978-1-4673-0381-1
  • Electronic_ISBN
    978-1-4673-0380-4
  • Type

    conf

  • DOI
    10.1109/ISSPA.2012.6310692
  • Filename
    6310692