Tighter bounds on the error probability of fixed convolutional codes

  • Authors:

  • K. Engdahl;K. Sh. Zigangirov

  • Affiliations:

  • Dept. of Inf. Technol., Lund Univ.;-

  • Venue:
  • IEEE Transactions on Information Theory
  • Year:
  • 2006

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Abstract

We introduce new upper bounds for the bit and burst error probabilities, when a convolutional code is used for transmission over a binary input, additive white Gaussian noise (AWGN) channel, and the decoder performs maximum-likelihood decoding. The bounds are tighter than existing bounds, and nontrivial also for signal-to-noise ratios below the computational cutoff rate