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Boosting the error performance of suboptimal tailbiting decoders

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Author

Summary, in English

Tailbiting is an attractive method to terminate convolutional codes without reducing the code rate. Maximum-likelihood and exact a posteriori probability decoding of tailbiting codes implies, however, a large computational complexity. Therefore, suboptimal decoding methods are often used in practical coding schemes. It is shown that suboptimal decoding methods work better when the slope of the active distances of the generating convolutional encoder is large. Moreover, it is shown that considering quasi-cyclic shifts of the received channel output can increase the performance of suboptimal tailbiting decoders. The findings are most relevant to tailbiting codes where the number of states is not small relative to the block length.

Publishing year

2003

Language

English

Pages

1485-1491

Publication/Series

IEEE Transactions on Communications

Volume

51

Issue

9

Document type

Journal article

Publisher

IEEE - Institute of Electrical and Electronics Engineers Inc.

Topic

  • Electrical Engineering, Electronic Engineering, Information Engineering

Keywords

  • active distance
  • suboptimal decoding
  • tailbiting code

Status

Published

ISBN/ISSN/Other

  • ISSN: 0090-6778