• DocumentCode
    1025750
  • Title

    Linear Precoders for Bit-Interleaved Coded Modulation on AWGN Channels: Analysis and Design Criteria

  • Author

    Simoens, Frederik ; Wymeersch, Henk ; Moeneclaey, Marc

  • Author_Institution
    Ghent Univ., Ghent
  • Volume
    54
  • Issue
    1
  • fYear
    2008
  • Firstpage
    87
  • Lastpage
    99
  • Abstract
    This paper investigates linear precoding for bit-interleaved coded modulation (BICM) on additive white Gaussian noise (AWGN) channels. Concatenating a linear precoder as an inner encoder with an outer (convolutional) encoder produces a powerful code with a limited decoding complexity. Linear precoders are examined and optimized for two scenarios: using (i) a noniterative decoding strategy and (ii) an iterative decoding strategy under a perfect feedback assumption. The precoder design is based on an information-theoretical approach, on the one hand, and a pair-wise error probability (PEP) analysis, on the other hand. Both approaches render convenient precoder design rules. For a binary phase-shift keying (BPSK) signal set, the optimal precoders that result from these rules are also derived. Numerical results confirm the analytical findings and simulations illustrate the effectiveness of the approach.
  • Keywords
    AWGN channels; channel capacity; convolutional codes; error statistics; interleaved codes; iterative decoding; linear codes; phase shift keying; AWGN channel; additive white Gaussian noise channel; binary phase-shift keying signal; bit-interleaved coded modulation; channel capacity; convolutional encoder; decoding complexity; information theory; linear precoding; mapping design; noniterative decoding; pair-wise error probability; precoder design; AWGN channels; Additive white noise; Convolution; Convolutional codes; Error analysis; Feedback; Interleaved codes; Iterative decoding; Modulation coding; Pairwise error probability; Bit-interleaved coded modulation; channel capacity; iterative decoding; mapping design; precoding;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/TIT.2007.911153
  • Filename
    4418502