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Information Theoretic Criterion for Stopping Turbo Iteration.
- Source :
-
IEEE Transactions on Signal Processing . 02/01/2011, Vol. 59 Issue 2, p848-853. 6p. - Publication Year :
- 2011
-
Abstract
- Most existing stopping criteria for turbo decoding have their root in hypothesis test, requiring a subjective threshold for decision making. A consequence is that the turbo decoding receiver so-constructed can converge at high signal-to-noise ratios (SNRs) but fails at low SNRs, thereby calling for a new design philosophy for stopping criteria. In this correspondence, the problem is tackled in the framework of information theoretic criterion, which enables the turbo decoding to properly work in a changing SNR environment. Numerical results are presented for illustrating the good performance of the proposed method. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 1053587X
- Volume :
- 59
- Issue :
- 2
- Database :
- Academic Search Index
- Journal :
- IEEE Transactions on Signal Processing
- Publication Type :
- Academic Journal
- Accession number :
- 57330715
- Full Text :
- https://doi.org/10.1109/TSP.2010.2077284