• DocumentCode
    2972248
  • Title

    Improved turbo SICMMSE equalization for coded intersymbol interference channels

  • Author

    Zou, Xiaoxin ; Qin, Zhiliang ; Cai, Kui

  • Author_Institution
    Data Storage Inst., Singapore
  • fYear
    2007
  • fDate
    10-13 Dec. 2007
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In this paper, we propose a low-complexity soft-input/soft-output (SISO) intersymbol interference (ISI) channel detector based on soft interference cancellation (SIC) and instantaneous minimum-mean-square-error (MMSE) filtering, where the present evaluated equalizer´s soft output is fed back and used for SIC in order to achieve a performance gain. To avoid computationally intensive matrix inversion for calculating MMSE filter coefficients, iterative algorithms such as the steepest descent (SD) method are used to find an approximate solution. Simulation results show that the proposed receiver converges quickly to the MMSE solution even using a simple 2-step SD approach. Moreover, it outperforms the powerful linear turbo equalization (LE) scheme over the severely ISI-distorted Proakis C channel.
  • Keywords
    filtering theory; interference suppression; intersymbol interference; least mean squares methods; matrix inversion; telecommunication channels; channel detector; coded intersymbol interference channels; linear turbo equalization; matrix inversion; minimum-mean-square-error filtering; soft interference cancellation; soft-input/soft-output intersymbol interference; steepest descent; Computational modeling; Detectors; Equalizers; Filtering; Filters; Interference cancellation; Intersymbol interference; Iterative algorithms; Performance gain; Silicon carbide; Iterative decoding; minimum-mean-square-error (MMSE); soft interference cancellation (SIC); turbo equalization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information, Communications & Signal Processing, 2007 6th International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-0982-2
  • Electronic_ISBN
    978-1-4244-0983-9
  • Type

    conf

  • DOI
    10.1109/ICICS.2007.4449612
  • Filename
    4449612