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An efficient new technique for accurate bit error probability estimation of ZJ decoders

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2 Author(s)
K. B. Letaief ; Dept. of Electr. & Electron. Eng., Hong Kong Univ. of Sci. & Technol., Kowloon, Hong Kong ; K. Muhammad

Sequential decoding is a very powerful decoding procedure for convolutional codes which is characterized as a sequential search for the correct transmitted path through a large decision tree with random node metrics. The authors present a new efficient technique for accurately estimating the bit error rates (BERs) of stack or Zigangirov-Jelinek (ZJ) sequential decoders for specific time-invariant convolutional codes. In contrast to a brute-force simulation approach, this method achieves computational efficiency by using a mean-translation importance sampling biasing method along with a set of easily checked rules which immediately eliminate the need of running the computationally intensive ZJ algorithm in a large number of simulation trials

Published in:

IEEE Transactions on Communications  (Volume:43 ,  Issue: 6 )