• DocumentCode
    2012248
  • Title

    An efficient reformulation based VLSI architecture for adaptive Viterbi decoding in wireless applications

  • Author

    Gang, Yao ; Arslan, Tughrul ; Erdogan, Ahmet

  • Author_Institution
    Sch. of Electr. Eng., Edinburgh Univ., UK
  • fYear
    2004
  • fDate
    13-15 Oct. 2004
  • Firstpage
    206
  • Lastpage
    210
  • Abstract
    New trends in wireless communication systems has dictated the need for dynamical adaptation of communication systems in order to suit environmental requirements. The authors present a reformulation based VLSI architecture for threshold selection for adaptive Viterbi decoding in wireless applications. Through reformulation of the adaptive Viterbi algorithm, the compare operation for threshold selection in the add compare select (ACS) unit is simplified from variable based to constant based and the width of the path metric is reduced. The reformulated architecture results in a significant reduction of hardware complexity in both standard cell and look up table (LUT) technologies. The paper describes the reformulation technique, its VLSI architecture for adaptive Viterbi decoding and its implementations in both ASIC and FPGA technologies. We also demonstrate that in addition to significant reduction in data path complexity, there is also a 25% to 47% storage reduction in the path metric memory unit (PMU).
  • Keywords
    VLSI; Viterbi decoding; adaptive decoding; application specific integrated circuits; field programmable gate arrays; forward error correction; table lookup; ASIC; FEC decoding; FPGA; PMU storage reduction; adaptive Viterbi decoding; add compare select unit; constant based ACS unit; data path complexity reduction; look up table technologies; path metric memory unit; path metric width reduction; reformulation based VLSI architecture; threshold selection; wireless communication systems; Application specific integrated circuits; Decoding; Field programmable gate arrays; Hardware; Paper technology; Phasor measurement units; Table lookup; Very large scale integration; Viterbi algorithm; Wireless communication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Systems, 2004. SIPS 2004. IEEE Workshop on
  • Print_ISBN
    0-7803-8504-7
  • Type

    conf

  • DOI
    10.1109/SIPS.2004.1363050
  • Filename
    1363050