• DocumentCode
    1738403
  • Title

    Turbo decoding in a Rayleigh fading channel with estimated channel state information

  • Author

    Shin, Hyundong ; Kim, Sunghwan ; Lee, Jae Hong

  • Author_Institution
    Sch. of Electr. Eng., Seoul Nat. Univ., South Korea
  • Volume
    3
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    1358
  • Abstract
    A new method to estimate the parameter for turbo decoding using the maximum a posteriori probability (MAP) algorithm is proposed for a turbo code in a Rayleigh fading channel with imperfect channel estimation. This parameter is called the channel reliability factor and is related with the channel SNR. For channel estimation, pilot symbol assisted modulation (PSAM) is used and the channel reliability factor for PSAM is derived. It is shown that the proposed estimator for the channel reliability factor does not degrade the error performance of turbo codes, compared with the case in which the channel reliability factor is exactly known to the decoder. It is also shown that the performance gain of the log-MAP algorithm over max-log-MAP algorithm can be maintained by using the correct channel reliability factor, irrespective of the channel estimation error
  • Keywords
    Rayleigh channels; decoding; parameter estimation; probability; turbo codes; PSAM; Rayleigh fading channel; channel SNR; channel estimation error; channel reliability factor; decoder; error performance; estimated channel state information; imperfect channel estimation; log-MAP algorithm; max-log-MAP algorithm; maximum a posteriori probability algorithm; parameter estimation; performance gain; pilot symbol assisted modulation; turbo codes; turbo decoding; AWGN; Channel estimation; Channel state information; Degradation; Fading; Iterative algorithms; Iterative decoding; Performance gain; State estimation; Turbo codes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicular Technology Conference, 2000. IEEE-VTS Fall VTC 2000. 52nd
  • Conference_Location
    Boston, MA
  • ISSN
    1090-3038
  • Print_ISBN
    0-7803-6507-0
  • Type

    conf

  • DOI
    10.1109/VETECF.2000.886319
  • Filename
    886319