• DocumentCode
    1982368
  • Title

    Iterative decoding of coded Tomlinson-Harashima precoded signals

  • Author

    Raphaeli, Dan

  • Author_Institution
    Dept. of Electr. Eng.-Syst., Tel Aviv Univ., Israel
  • fYear
    2004
  • fDate
    6-7 Sept. 2004
  • Firstpage
    76
  • Lastpage
    79
  • Abstract
    We present a new decoder for Tomlinson-Harashima precoded (THP) signals; it is used on a linear Gaussian channel with intersymbol interference. While the transmitter is not modified, the receiver modulo operation is replaced with an a posteriori probability (APP) module, which we term as enhanced modulo (EMOD). The EMOD accepts a priori probabilities, making it suitable for turbo operation when the THP signal is coded. The new scheme is much more complex than simple modulo operation and, in addition, induces delay. Its complexity depends exponentially on channel length. However, a large gain in performance may be obtained. The scheme performance is demonstrated for a convolutional code concatenated with THP on a few exemplary channels. Gains of up to 10 dB are demonstrated.
  • Keywords
    Gaussian channels; computational complexity; concatenated codes; convolutional codes; delays; intersymbol interference; iterative decoding; probability; turbo codes; Tomlinson-Harashima precoded signals; a posteriori probability module; a priori probabilities; channel length; complexity; concatenated code; convolutional code; enhanced modulo; intersymbol interference; iterative decoding; linear Gaussian channel; receiver modulo operation; simple modulo operation; turbo operation; Added delay; Concatenated codes; Convolutional codes; Decision feedback equalizers; Gain; Interference; Iterative decoding; Propagation losses; Signal to noise ratio; Transmitters;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Electronics Engineers in Israel, 2004. Proceedings. 2004 23rd IEEE Convention of
  • Print_ISBN
    0-7803-8427-X
  • Type

    conf

  • DOI
    10.1109/EEEI.2004.1361092
  • Filename
    1361092