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Threshold Based Iteration Stopping Criterion for Turbo Codes and for Scheme Combining a Turbo Code and a Golden Space-Time Block CodeSAVIN, A. , TRIFINA, L. , ANDREI, M.
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average number of iterations, space-time block codes, stopping criterion, threshold, turbo codes
turbo(15), decoding(13), stopping(11), codes(8), communications(7), letters(6), criterion(6), iterative(5), soft(4), isscs(4)
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About this article
Date of Publication: 2014-02-28
Volume 14, Issue 1, Year 2014, On page(s): 139 - 142
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2014.01021
Web of Science Accession Number: 000332062300021
SCOPUS ID: 84894607425
This paper proposes an iteration stopping criterion for turbo decoding with Benedetto's decoding algorithm based on a posteriori probabilities. This stopping criterion is used in two schemes. Firstly, it is used in a classical turbo code scheme on additive white gaussian noise (AWGN) channel. Secondly, it is used in a scheme combining a turbo code and a Golden space-time block code on fast Rayleigh fading multiple input multiple output (MIMO) channel. Simulation results with different thresholds for the stopping criterion show that a threshold of 1.2 and 1.4 in the first and second scheme, respectively, are sufficient for obtaining the same bit error rate and frame error rate performance like in the case of using the ideal genie stopping criterion. The difference between the average number of iterations for these thresholds and for the genie stopping criterion is at most 1.5 and 1.25, respectively.
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 Threshold-based improved minimum descriptive length stopping criterion for iterative turbo decoding, Zulkefle, Muhammad Iskandar Hafiz, Mohamad, Roslina, Suliman, Saiful Izwan, Kassim, Murizah, Anas, Nuzli Mohamad, 2017 IEEE 13th Malaysia International Conference on Communications (MICC), ISBN 978-1-5386-3132-4, 2017.
Digital Object Identifier: 10.1109/MICC.2017.8311731 [CrossRef]
 On the robustness of measurement of reliability stopping criterion in turbo iterative decoding, Mohamad, Roslina, Harun, Harlisya, Mokhtar, Makhfudzah, Adnan, Wan Azizun Wan, Dimyati, Kaharudin, 2015 IEEE/ACIS 16th International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD), ISBN 978-1-4799-8676-7, 2015.
Digital Object Identifier: 10.1109/SNPD.2015.7176188 [CrossRef]
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
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