• DocumentCode
    1927517
  • Title

    High-throughput flexible constraint length Viterbi decoders on de Bruijn, shuffle-exchange and butterfly connected architectures

  • Author

    Garga, Ganesh ; Guevorkian, David ; Nandy, S.K. ; Jamadagni, H.S.

  • Author_Institution
    Centre for Electron. Design & Technol., Indian Inst. of Sci., Bangalore, India
  • fYear
    2009
  • fDate
    20-23 July 2009
  • Firstpage
    157
  • Lastpage
    164
  • Abstract
    Flexible constraint length channel decoders are required for software defined radios. This paper presents a novel scalable scheme for realizing flexible constraint length Viterbi decoders on a de Bruijn interconnection network. Architectures for flexible decoders using the flattened butterfly and shuffle-exchange networks are also described. It is shown that these networks provide favourable substrates for realizing flexible convolutional decoders. Synthesis results for the three networks are provided and a comparison is performed. An architecture based on a 2D-mesh, which is a topology having a nominally lesser silicon area requirement, is also considered as a fourth point for comparison. It is found that of all the networks considered, the de Bruijn network offers the best tradeoff in terms of area versus throughput.
  • Keywords
    Viterbi decoding; hypercube networks; software radio; 2D mesh architecture; Viterbi decoders; constraint length channel decoders; deBruijn interconnection network; flattened butterfly network; flexible convolutional decoders; network architecture; shuffle-exchange network; software defined radios; Baseband; Code standards; Computer architecture; Convolutional codes; Decoding; Energy consumption; Hardware; Modems; Software radio; Viterbi algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Architectures, Modeling, and Simulation, 2009. SAMOS '09. International Symposium on
  • Conference_Location
    Samos
  • Print_ISBN
    978-1-4244-4502-8
  • Type

    conf

  • DOI
    10.1109/ICSAMOS.2009.5289227
  • Filename
    5289227