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Stefan cel Mare
University of Suceava
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Computer Science
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ROMANIA

Print ISSN: 1582-7445
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WorldCat: 643243560
doi: 10.4316/AECE


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  1/2014 - 21
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 HIGHLY CITED PAPER 

Threshold Based Iteration Stopping Criterion for Turbo Codes and for Scheme Combining a Turbo Code and a Golden Space-Time Block Code

SAVIN, A. See more information about SAVIN, A. on SCOPUS See more information about SAVIN, A. on IEEExplore See more information about SAVIN, A. on Web of Science, TRIFINA, L. See more information about  TRIFINA, L. on SCOPUS See more information about  TRIFINA, L. on SCOPUS See more information about TRIFINA, L. on Web of Science, ANDREI, M. See more information about ANDREI, M. on SCOPUS See more information about ANDREI, M. on SCOPUS See more information about ANDREI, M. on Web of Science
 
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Download PDF pdficon (653 KB) | Citation | Downloads: 342 | Views: 4,052

Author keywords
average number of iterations, space-time block codes, stopping criterion, threshold, turbo codes

References keywords
turbo(15), decoding(13), stopping(11), codes(8), communications(7), letters(6), criterion(6), iterative(5), soft(4), isscs(4)
Blue keywords are present in both the references section and the paper title.

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

Abstract
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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.


References | Cited By  «-- Click to see who has cited this paper

[1] C. Berrou, A. Glavieux, and P. Thitimajshima, "Near Shannon limit error correcting coding and decoding: Turbo-codes", IEEE Proceedings of International Conference on Communications ICC 1993, Geneva, Switzerland, vol. 2, pp. 1064 -1070, 23-26 May 1993.
[CrossRef]


[2] S. Benedetto, D. Divsalar, G. Montorsi and F. Pollara, "A soft-input soft-output maximum a posteriori (MAP) module to decode parallel and serial concatenated codes", TDA Progress Report 42-127, Nov. 1996

[3] S. Benedetto, D. Divsalar, G. Montorsy and F. Pollara, "A soft-input soft-output APP module for iterative decoding of concatenated codes", IEEE Communications Letters, vol.1, no.1, pp. 22-24, Jan. 1997.
[CrossRef] [Web of Science Times Cited 370] [SCOPUS Times Cited 465]


[4] P. Robertson, E. Villebrun and P. Hoeher, "A comparison of optimal and sub-optimal MAP decoding algorithms operating in the log domain", IEEE Proceedings of International Conference on Communications ICC 1995, Seattle, Washington, pp. 1009-1013, June 1995.
[CrossRef]


[5] K. Amis, G. Sicot and D. Leroux, „Reduced complexity near-optimal iterative receiver for Wimax full-rate space-time code", 5th International Symposium on Turbo Codes and Related Topics, Lausanne, pp. 102-106, 1-5 Sept. 2008.
[CrossRef] [Web of Science Times Cited 4] [SCOPUS Times Cited 8]


[6] A. Savin and L. Trifina, "Scheme combining a turbo code and a golden space-time block code with different interleavers", IEEE International Symposium on Signals, Circuits and Systems ISSCS 2013, Iasi, Romania, pp. 37-40, 11-12 July 2013.
[CrossRef] [Web of Science Times Cited 1] [SCOPUS Times Cited 1]


[7] L. Trifina, D. Tarniceriu and H. Balta, "Threshold determining for minabsLLR stopping criterion for turbo codes", Frequenz, vol. 67, no. 9-10, pp. 321-326, Sept. 2013.
[CrossRef] [Web of Science Times Cited 10] [SCOPUS Times Cited 12]


[8] H. Balta, C. Douillard and M. Kovaci, "The minimum likelihood APP based early stopping criterion for multi-binary turbo codes", Scientific Bulletin of "Politehnica" University from Timisoara, vol. 51(65), no. 1-2, pp. 199-203, 21-22 Sept. 2006

[9] A. Matache, S. Dolinar and F. Pollara, "Stopping rules for turbo decoders," JPL TMO Progress Report, vol. 42, pp.1-22, Aug. 2000

[10] L. Trifina, H.G. Balta and A. RuÂșinaru, "Decreasing of the turbo MAP decoding time by using an iterations stopping criterion", IEEE International Symposium on Signals, Circuits and Systems ISSCS 2005, Iasi, Romania, pp. 371-374, 14-15 July 2005.
[CrossRef] [SCOPUS Times Cited 10]


[11] J. Hagenauer, E. Offer and L. Papke, "Iterative decoding of binary block and convolutional codes", IEEE Transactions on Information Theory, vol. 42, no. 2, pp. 429-445, Mar. 1996.
[CrossRef] [Web of Science Times Cited 1526] [SCOPUS Times Cited 1945]


[12] R. Y. Shao, S. Lin and M. P. C. Fossorier, "Two simple stopping criteria for turbo decoding," IEEE Transactions on Communications, vol. 47, no. 8, pp. 1117-1120, Aug. 1999.
[CrossRef] [Web of Science Times Cited 179] [SCOPUS Times Cited 242]


[13] Y. Wu, B. D. Woerner and W. J. Ebel, "A simple stopping criterion for turbo decoding", IEEE Communications Letters, vol. 4, no. 8, pp. 258-260, Aug. 2000.
[CrossRef] [Web of Science Times Cited 91] [SCOPUS Times Cited 130]


[14] T. M. N. Ngatched and F. Takawira, "Simple stopping criterion for turbo decoding", IEE Electronics Letters, vol. 37, no. 22, pp. 1350-1351, Oct. 2001.
[CrossRef] [Web of Science Times Cited 31] [SCOPUS Times Cited 52]


[15] A. Taffin, "Generalised stopping criterion for iterative decoders", IEE Electronics Letters, vol. 39, no. 13, pp. 993-994, June 2003.
[CrossRef] [Web of Science Times Cited 7] [SCOPUS Times Cited 9]


[16] A. Shibutani, H. Suda and F. Adachi, "Reducing average number of turbo decoding iterations," IEE Electronics Letters, vol. 35, no. 9, pp. 701-702, Apr. 1999.
[CrossRef] [Web of Science Times Cited 52] [SCOPUS Times Cited 68]


[17] Z. Ma, W. H. Mow and P. Fan, "On the complexity reduction of turbo decoding for wideband CDMA", IEEE Transactions on Wireless Communications, vol. 4, no. 2, pp. 353-356, Mar. 2005.
[CrossRef] [Web of Science Times Cited 11] [SCOPUS Times Cited 15]


[18] F. M. Li and A. Y. Wu, "On the new stopping criteria of iterative turbo decoding by using decoding threshold," IEEE Transactions on Signal Processing, vol. 55, no. 11, pp. 5506-5516, Nov. 2007.
[CrossRef] [Web of Science Times Cited 34] [SCOPUS Times Cited 40]


[19] L. Guerrieri, D. Veronesi and P. Bisaglia, "Stopping rules for duo-binary turbo codes and application to HomePlug AV", IEEE Global Telecommunications Conference GLOBECOM 2008, pp. 2911-2915, 30 Nov. - 4 Dec. 2008.
[CrossRef] [Web of Science Times Cited 2] [SCOPUS Times Cited 10]


[20] D. H. Kim and S. W. Kim, "Bit-level stopping of turbo decoding", IEEE Communications Letters, vol. 10, no. 3, pp. 183-185, Mar. 2006.
[CrossRef] [SCOPUS Times Cited 14]




References Weight

Web of Science® Citations for all references: 2,318 TCR
SCOPUS® Citations for all references: 3,021 TCR

Web of Science® Average Citations per reference: 110 ACR
SCOPUS® Average Citations per reference: 144 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2024-06-08 03:02 in 116 seconds.




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