• DocumentCode
    1214975
  • Title

    Erasure-free sequential decoding of trellis codes

  • Author

    Fu-Quan Wang ; Costello, D.J., Jr.

  • Author_Institution
    Dept. of Electr. Eng., Notre Dame Univ., IN, USA
  • Volume
    40
  • Issue
    6
  • fYear
    1994
  • Firstpage
    1803
  • Lastpage
    1817
  • Abstract
    An erasure-free sequential decoding algorithm for trellis codes, called the buffer looking algorithm (BLA), is introduced. Several versions of the algorithm can be obtained by choosing certain parameters and selecting a resynchronization scheme. These can be categorized as block decoding or continuous decoding, depending on the resynchronization scheme. Block decoding is guaranteed to resynchronize at the beginning of each block, but suffers some rate loss when the block length is relatively short. The performance of a typical block decoding scheme is analyzed, and we show that significant coding gains over Viterbi decoding can be achieved with much less computational effort. A resynchronization scheme is proposed for continuous sequential decoding. It is shown by analysis and simulation that continuous sequential decoding using this scheme has a high probability of resynchronizing successfully. This new resynchronization scheme solves the rate loss problem resulting from block decoding. The channel cutoff rate, demodulator quantization, and the tail´s influence on performance are also discussed. Although this paper considers only the decoding of trellis codes, the algorithm can also be applied to the decoding of convolutional codes.<>
  • Keywords
    sequential decoding; synchronisation; trellis codes; Viterbi decoding; block decoding; block length; buffer looking algorithm; channel cutoff rate; coding gains; continuous sequential decoding; convolutional codes; demodulator quantization; erasure-free sequential decoding; performance; rate loss; resynchronization; simulation; trellis codes; Analytical models; Computational modeling; Convolutional codes; Decoding; Demodulation; Performance analysis; Performance gain; Quantization; Tail; Viterbi algorithm;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/18.340456
  • Filename
    340456