• DocumentCode
    1924477
  • Title

    SISO Based Turbo Equalization and Decoding for ISI Corrupted Wireless Channels

  • Author

    Tripathy, A. ; Pathak, S.S. ; Chakrabarti, S.

  • Author_Institution
    Dept. of Electron. & Electr. Commun., Indian Inst. of Technol., Kharagpur
  • fYear
    2007
  • fDate
    5-7 March 2007
  • Firstpage
    82
  • Lastpage
    86
  • Abstract
    The maximum a posteriori (MAP) probability algorithm and the soft output Viterbi algorithm (SOVA), usually known as soft in soft out (SISO) algorithms are used for data detection in non minimum phase channels representative of an outdoor cellular wireless environment. The performance of combinations of MAP and SOVA based equalizer and decoder is evaluated by simulation experiment. The performance does not improve much for more than five iterations in a severe ISI channel. The results obtained for 1 dB to 4 dB bit energy to noise power show that almost identical results are obtained for two other combinations of the SOVA and MAP in a serial concatenated scheme to take care of ISI. Theoretical analysis seems to support the viewpoint that all 4 possible combinations of MAP and SOVA algorithms result in an almost identical performance towards higher iteration numbers. Hence, SOVA-SOVA combination may be more suitable from implementation point of view than the other 3 combinations
  • Keywords
    Viterbi decoding; cellular radio; intersymbol interference; maximum likelihood estimation; probability; turbo codes; wireless channels; cellular wireless environment; decoding; intersymbol interference corrupted wireless channels; maximum a posteriori probability algorithm; nonminimum phase channel; soft in soft out algorithm; soft output Viterbi algorithm; turbo equalization; AWGN; Additive white noise; Bit error rate; Decoding; Equalizers; Gaussian noise; Intersymbol interference; Modulation coding; Noise reduction; Viterbi algorithm; MAP; SOVA; Soft In Soft Output;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing: Theory and Applications, 2007. ICCTA '07. International Conference on
  • Conference_Location
    Kolkata
  • Print_ISBN
    0-7695-2770-1
  • Type

    conf

  • DOI
    10.1109/ICCTA.2007.118
  • Filename
    4127347