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A Tightened Upper Bound on the Error Probability of Binary Convolutional Codes with Viterbi Decoding

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1 Author(s)

Tighter upper bounds on the error event and the bit error probabilities, respectively, for maximum-likelihood decoding of binary convolutional codes on the binary symmetric channel are derived from upper bounds previously published by Viterbi [1]. The measured bit error rate P_b for a constraint length 3 decoder has been plotted versus the channel transition probability p and shows close agreement with the improved bound on the bit error probability.

Published in:

IEEE Transactions on Information Theory  (Volume:20 ,  Issue: 3 )