• DocumentCode
    1186677
  • Title

    Design of turbo-coded modulation for the AWGN channel with Tikhonov phase error

  • Author

    Zhu, Ying ; Ni, Li ; Belzer, Benjamin J.

  • Author_Institution
    Sch. of Electr. Eng. & Comput. Sci., Washington State Univ., Pullman, WA, USA
  • Volume
    53
  • Issue
    10
  • fYear
    2005
  • Firstpage
    1697
  • Lastpage
    1707
  • Abstract
    We design 1-b/symbol/Hz parallel concatenated turbo-coded modulation (PCTCM) for the additive white Gaussian noise (AWGN) channel with Tikhonov phase error. Constituent recursive convolutional codes are optimized so that the turbo codes have low error floors and low convergence thresholds. The pairwise error probability based on the maximum-likelihood decoding metric is used to select codes with low error floors. We also present a Gaussian approximation method that accurately predicts convergence thresholds for PCTCM codes on the AWGN/Tikhonov channel. Simulation results show that the selected codes perform within 0.6 dB of constellation constrained capacity, and have no detectable error floor down to bit-error rates of 10-6.
  • Keywords
    AWGN channels; Gaussian processes; approximation theory; channel coding; concatenated codes; error statistics; maximum likelihood decoding; modulation coding; turbo codes; AWGN channel; Gaussian approximation method; Tikhonov phase error; additive white Gaussian noise channel; bit-error rates; maximum-likelihood decoding; pairwise error probability; parallel concatenated turbo-coded modulation; AWGN channels; Additive white noise; Concatenated codes; Convergence; Convolutional codes; Maximum likelihood decoding; Maximum likelihood detection; Pairwise error probability; Phase modulation; Turbo codes; Additive white Gaussian noise (AWGN); Tikhonov phase error; turbo-coded modulation;
  • fLanguage
    English
  • Journal_Title
    Communications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0090-6778
  • Type

    jour

  • DOI
    10.1109/TCOMM.2005.857158
  • Filename
    1516287