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
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;
Conference_Titel :
Global Telecommunications Conference and Exhibition 'Communications Technology for the 1990s and Beyond' (GLOBECOM), 1989. IEEE
Conference_Location :
Dallas, TX
DOI :
10.1109/GLOCOM.1989.64204