• DocumentCode
    2443931
  • Title

    Low-power pre-decoding based viterbi decoder for tail-biting convolutional codes

  • Author

    Abdallah, Rami A. ; Lee, Seok-Jun ; Goel, Manish ; Shanbhag, Naresh R.

  • Author_Institution
    ECE Dept., Univ. of Illinois at Urbana-Champaign, Urbana, IL, USA
  • fYear
    2009
  • fDate
    7-9 Oct. 2009
  • Firstpage
    185
  • Lastpage
    190
  • Abstract
    Low-power and high-throughput Viterbi decoder (VD) for tail-biting convolutional codes is presented in this paper. First, a low complexity radix-4 VD with enhanced decoding features such as end-state forcing and best-state trace back is presented. Second, simple pre-decoding is proposed to decrease the runtime of VD, resulting in significant power saving. The design is implemented in 0:9 V TI 45-nm CMOS process at 100 MHz for Long Term Evolution (LTE) as application. More than 90% power saving is achieved with pre-decoding at a throughput of 120 Mbps and 0:2 dB SNR loss for 10-5 frame error rate.
  • Keywords
    Viterbi decoding; convolutional codes; digital arithmetic; error statistics; CMOS process; SNR loss; bit rate 120 Mbit/s; frame error rate; frequency 100 MHz; long term evolution; low complexity radix-4 VD; low-power Viterbi pre-decoding; size 45 nm; tail-biting convolutional code; CMOS process; Convolutional codes; Energy consumption; Error analysis; Long Term Evolution; Maximum likelihood decoding; Throughput; Viterbi algorithm; WiMAX; Wireless LAN; Add-Compare-Select; Long Term Evolution; Tail-Biting Convolutional Code; Trellis Decoding; Viterbi Decoder;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Systems, 2009. SiPS 2009. IEEE Workshop on
  • Conference_Location
    Tampere
  • ISSN
    1520-6130
  • Print_ISBN
    978-1-4244-4335-2
  • Electronic_ISBN
    1520-6130
  • Type

    conf

  • DOI
    10.1109/SIPS.2009.5336249
  • Filename
    5336249