A comparison of reduced complexity decoding algorithms for trellis codes

  • Authors:
  • G. J. Pottie;D. P. Taylor

  • Affiliations:
  • Dept. of Electr. & Comput. Eng., McMaster Univ., Hamilton, Ont.;-

  • Venue:
  • IEEE Journal on Selected Areas in Communications
  • Year:
  • 2006
  • Spinal codes

    Proceedings of the ACM SIGCOMM 2012 conference on Applications, technologies, architectures, and protocols for computer communication

  • Spinal codes

    ACM SIGCOMM Computer Communication Review - Special october issue SIGCOMM '12

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Abstract

Comparisons are made of a genie-aided sequential algorithm due to D. Haccoun and M.J. Ferguson (1975), the Viterbi algorithm, the M -algorithm, and the Fano algorithm for rate-1/2 and rate-2/3 trellis modulation codes on rectangular signal sets. The effects of signal-to-noise ratio and decoding-delay constraints on the choice of decoding algorithms for framed data are examined by computer simulation. Additionally, the genie-aided algorithm is used as a tool in estimating the asymptotic behavior of the M-algorithm. In general, the results conform closely to experience with convolutional codes due to the similar distance structure of the codes. The Fano algorithm produces good error performance with a low average number of computations when long decoding delay is permissible. The M-algorithm provides a savings in computation compared to the Viterbi algorithm if a small decoding delay is required