• DocumentCode
    3075917
  • Title

    Generalized Viterbi algorithms for error detection with convolutional codes

  • Author

    Seshadri, N. ; Sundberg, C.-E.W.

  • Author_Institution
    AT&T Bell Labs., Murray Hill, NJ, USA
  • fYear
    1989
  • fDate
    27-30 Nov 1989
  • Firstpage
    1534
  • Abstract
    Presented are two generalized Viterbi algorithms (GVAs) for the decoding of convolutional codes. They are respectively, a parallel algorithm that simultaneously identifies the L best estimates of the transmitted sequence, and a serial algorithm that identifies the lth best estimate using the knowledge about the previously found l-1 estimates. These algorithms are applied to combined speech and channel coding systems, concatenated codes, trellis-coded modulation, partial response (continuous-phase modulation), and hybrid ARQ (automatic repeat request) schemes. As an example, for a concatenated code more than 2 dB is gained by the use of the GVA with L=3 over the Viterbi algorithm for block error rates less than 10-2. The channel is a Rayleigh fading channel
  • Keywords
    codes; decoding; encoding; error detection codes; phase modulation; telecommunication channels; L best estimates; Rayleigh fading channel; automatic repeat request; block error rates; combined speech/channel coding systems; concatenated codes; convolutional codes; decoding; error detection; generalized Viterbi algorithms; hybrid ARQ; parallel algorithm; partial response CPM; serial algorithm; transmitted sequence; trellis-coded modulation; Automatic repeat request; Channel coding; Concatenated codes; Convolutional codes; Decoding; Error analysis; Modulation coding; Parallel algorithms; Speech coding; Viterbi algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Telecommunications Conference and Exhibition 'Communications Technology for the 1990s and Beyond' (GLOBECOM), 1989. IEEE
  • Conference_Location
    Dallas, TX
  • Type

    conf

  • DOI
    10.1109/GLOCOM.1989.64204
  • Filename
    64204