Boosting the error performance of suboptimal tailbiting decoders
Författare
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.
Publiceringsår
2003
Språk
Engelska
Sidor
1485-1491
Publikation/Tidskrift/Serie
IEEE Transactions on Communications
Volym
51
Issue
9
Dokumenttyp
Artikel i tidskrift
Förlag
IEEE - Institute of Electrical and Electronics Engineers Inc.
Ämne
- Electrical Engineering, Electronic Engineering, Information Engineering
Nyckelord
- active distance
- suboptimal decoding
- tailbiting code
Status
Published
ISBN/ISSN/Övrigt
- ISSN: 0090-6778