• DocumentCode
    3541269
  • Title

    Area and power efficient trellis computational blocks in 0.13μm CMOS

  • Author

    Kamuf, Matthias ; Öwall, Viktor ; Anderson, John B.

  • Author_Institution
    Dept. of Electroscience, Lund Inst. of Technol., Sweden
  • fYear
    2005
  • fDate
    23-26 May 2005
  • Firstpage
    344
  • Abstract
    Improved add-compare-select and branch metric units are presented to reduce the complexity in the implementation of trellis-based decoding architectures. These units use a complementary property of the best rate 1/2 convolutional codes to reduce both area requirements and power consumption in a silicon implementation with no loss in decoding performance. For a 0.13μm CMOS process, synthesized computational blocks for decoders that can process codes from memory 2 up to 7 show up to 17% savings in both cell area and power consumption.
  • Keywords
    CMOS integrated circuits; channel coding; convolutional codes; decoding; power consumption; silicon; trellis codes; 0.13 micron; CMOS process; add-compare-select unit; branch metric unit; cell area; complementary property; power consumption; rate 1/2 convolutional codes; reduced complexity; silicon implementation; trellis computational blocks; trellis-based decoding architectures; Additive white noise; CMOS process; Computer architecture; Convolutional codes; Decoding; Energy consumption; Information technology; Performance loss; Silicon; Viterbi algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 2005. ISCAS 2005. IEEE International Symposium on
  • Print_ISBN
    0-7803-8834-8
  • Type

    conf

  • DOI
    10.1109/ISCAS.2005.1464595
  • Filename
    1464595