• DocumentCode
    1738379
  • Title

    Combining turbo-codes and co-channel interference cancellation assisted by RLS-MLSE channel estimation

  • Author

    Hisata, Hiroko ; Horikoshi, Jun

  • Author_Institution
    Dept. of Electron. Eng., Gunma Univ., Japan
  • Volume
    3
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    1179
  • Abstract
    Turbo-codes is known as a powerful error correcting code. Since the turbo decoder reflects not only hard decision but also reliability of the received signals, a great coding gain can be obtained. In addition maximum likelihood sequence estimation (MLSE) with adaptive interference cancellation (AIC) has been proved effective in reducing the influence of fading and co-channel interference. Therefore, we propose a system that combines turbo-codes and RLS-MLSE. The proposed system estimates the desired signal and interference signal separately at the MLSE part. The output of MLSE is estimated as the desired signal on the survived path of the Viterbi estimator, which is a soft value. Then the soft value that does not contain the interference component is input into the turbo-decoder. The simulation result shows that the proposed system has a superior performance to the system with only MLSE
  • Keywords
    AWGN channels; adaptive signal processing; cochannel interference; decoding; error correction codes; fading channels; interference suppression; land mobile radio; least mean squares methods; maximum likelihood sequence estimation; recursive estimation; turbo codes; AWGN channel; RLS-MLSE channel estimation; Viterbi estimator; adaptive interference cancellation; additive white Gaussian noise channel; co-channel interference cancellation; ensemble-averaged inverse-matrix least squares; error correcting code; fading; hard decision; maximum likelihood sequence estimation; mobile radio system; received signals reliability; simulation result; system performance; turbo codes; turbo decoder; AWGN; Channel estimation; Error correction codes; Fading; Interchannel interference; Interference cancellation; Maximum likelihood decoding; Maximum likelihood estimation; Turbo codes; Viterbi algorithm;
  • 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.2000.886288
  • Filename
    886288