• DocumentCode
    2126965
  • Title

    A low power turbo decoder architecture

  • Author

    Elassal, Mahmoud ; Bayoumi, M.

  • Author_Institution
    Center for Adv. Comput. Studies, Univ. of Louisiana at Lafayette, LA, USA
  • fYear
    2003
  • fDate
    27-29 Aug. 2003
  • Firstpage
    105
  • Lastpage
    110
  • Abstract
    A new method is proposed to decrease the power consumption of turbo decoders. Turbo decoders iteratively decode the received sequence by exchanging extrinsic information. In the proposed method, the exchange of extrinsic information that exceeds a certain threshold is terminated and, instead, a predefined value is exchanged. This method enables reduction of memory accesses to both the interleaver memory and state metric memory, hence reducting power consumption. Simulation and synthesis results shows up to 25% reduction of power consumption at Eb/NO of 1.5 dB, compared to the conventional state parallel architecture.
  • Keywords
    convolutional codes; interleaved codes; iterative decoding; power consumption; turbo codes; extrinsic information; interleaved convolutional codes; interleaver memory; iterative decoding; low power turbo decoder architecture; memory accesses; power consumption; state metric memory; turbo codes; Computer architecture; Convolutional codes; Energy consumption; Iterative decoding; Maximum likelihood decoding; Parallel architectures; Performance analysis; Termination of employment; Transceivers; Turbo codes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Systems, 2003. SIPS 2003. IEEE Workshop on
  • ISSN
    1520-6130
  • Print_ISBN
    0-7803-7795-8
  • Type

    conf

  • DOI
    10.1109/SIPS.2003.1235652
  • Filename
    1235652