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Stefan cel Mare
University of Suceava
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Print ISSN: 1582-7445
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WorldCat: 643243560
doi: 10.4316/AECE


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  2/2013 - 13

 HIGHLY CITED PAPER 

On the Influence of the Extrinsic Information Scaling Coefficient on the Performance of Single and Double Binary Turbo Codes

BALTA, H. See more information about BALTA, H. on SCOPUS See more information about BALTA, H. on IEEExplore See more information about BALTA, H. on Web of Science, DOUILLARD, C. See more information about DOUILLARD, C. on SCOPUS See more information about DOUILLARD, C. on SCOPUS See more information about DOUILLARD, C. on Web of Science
 
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Download PDF pdficon (843 KB) | Citation | Downloads: 873 | Views: 4,681

Author keywords
Hamming distance, information processing, iterative decoding, maximum a posteriori estimation, turbo codes

References keywords
turbo(20), decoding(18), codes(13), proc(10), information(9), iterative(7), scaling(5), minimum(5), extrinsic(5), commun(5)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2013-05-31
Volume 13, Issue 2, Year 2013, On page(s): 77 - 84
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2013.02013
Web of Science Accession Number: 000322179400013
SCOPUS ID: 84878912602

Abstract
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This paper presents a study on the influence of the extrinsic information scaling coefficient value (eic) on the bit and frame error rate (BER/FER), for single and double binary turbo codes (S/DBTC) decoded with maximum a posteriori (MAP) and maximum logarithmic MAP (MaxLogMAP) component algorithms. Firstly, we estimate the distance spectrum of the code with the so-called error impulse method (EIM), and we analyze its dependence as well as the dependence of the asymptotic FER on eic. Secondly, we estimate the actual FER using Monte Carlo simulations with eic as a parameter. The comparison of the FER(eic) curves obtained by the two methods allows us, on the one hand, to assess the quality of the decoding algorithms, and on the other hand, to estimate the very low BER/FER performance of TCs, where the Monte Carlo method is practically unusable. The results presented also provide a practical guide for the appreciation of the optimal value of the scaling factor, eic. We may notice that also the MAP algorithm performance could be improved using eic<1.


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

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[2] European Telecommunications Standards Institute, Interaction channel for satellite distribution systems. V1.3.1 301 790, ETSI EN, March 2003. [Online] Available: Temporary on-line reference link removed - see the PDF document

[3] European Telecommunications Standards Institute, Digital Video Broadcasting (DVB); Second Generation, DVB Interactive Satellite System; Part 2: Lower Layers for Satellite standard, DVB Document A155-2, March 2011. [Online] Available: Temporary on-line reference link removed - see the PDF document

[4] Weiss, C., Bettstetter, C., Riedel, S., Costello, D. J., "Turbo decoding with tailbiting trellises", Proc of IEEE Int Symp Signals Syst, Electron, Pisa, Italy, pp. 343-348, October 1998.
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[5] Berrou, C., Glavieux, A., Thitimajshima, P., "Near Shannon Limit Error -Correcting Coding and Decoding: Turbo -Codes", Proc of ICC, Geneve, vol. 2, pp. 1064-1070, May 23-26, 1993.
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[8] Hagenauer, J., Papke, L., „Decoding „Turbo"-Codes with the Soft Output Viterbi Algorithm (SOVA)", Proc of IEEE International Symposium on Information Theory, pp. 164, June-July 1994.
[CrossRef] [SCOPUS Times Cited 32]


[9] Koch, W., Baier, A., "Optimum and sub-optimum detection of coded data disturbed by time-varying intersymbol interference", Proc of Globecom, pp. 1679-1684, December 1990.
[CrossRef]


[10] Robertson, P., Hoeher, P., Villebrun, E., "Optimal and suboptimal maximum a posteriori algorithms suitable for turbo decoding", Eur T Telecommun, vol. 8, pp. 119-125, March-April 1997.
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[11] Vogt, J. Finger, A., "Improving the max-log-MAP turbo decoder", Electron Lett, vol. 36, no. 23, pp. 1937-1939, November 2000.
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[12] Papke, L., Robertson, P., Villebrun, E., "Improved decoding with SOVA in parallel concatenated (turbo-code) scheme", Proc of ICC, Dallas, USA, pp. 102-106, July 1996.
[CrossRef]


[13] Colavolpe, G., Ferrari, G, Raheli, R., "Extrinsic information in iterative decoding: a unified view", IEEE T Commun, vol. 49, pp. 2088-2094, 2001.
[CrossRef] [Web of Science Times Cited 56] [SCOPUS Times Cited 70]


[14] Yue, D. W., Nguyen, H. H., "Unified scaling factor approach for turbo decoding algorithms", IET Commun, vol. 4, no. 8, pp. 905 - 914, 2010,
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[15] Isukapalli, Y., Rao, S. S., "Exploiting the nature of extrinsic information in iterative decoding", 37th Asilomar Conf Signals, Systems and Computers, vol. 2, pp. 1793-1797, 2003,
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[16] Claussen, H., Karimi, H. R., Mulgrew, B., "Improved max-log map turbo decoding using maximum mutual information combining", 14th IEEE Proceedings on Personal, Indoor and Mobile Radio Communications, pp. 424 - 428 vol.1, 2003,
[CrossRef] [SCOPUS Times Cited 16]


[17] Claussen, H., Karimi, H. R., Mulgrew, B., "Improved Max-Log-MAP Turbo Decoding by Maximization of Mutual Information Transfer", EURASIP J Appl Si Pr, vol. 6, pp. 820-827, 2005.
[CrossRef] [Web of Science Times Cited 9] [SCOPUS Times Cited 13]


[18] Taskaldiran, M., Morling, R.C.S., Kale, I., "A comparative study on the modified Max-Log-MAP turbo decoding by extrinsic information scaling", Wirel Telecomm Symp, pp. 1 - 5, 2007.
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[19] Jun Heo, Chugg, K.M., "Optimization of Scaling Soft Information in Iterative Decoding Via Density Evolution Methods", IEEE T Commun, vol. 53, no. 6, pp. 957-961, June 2005.
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[20] Alvarado, A., Nunez, V., Szczecinski, L., Agrell, E., "Correcting Suboptimal Metrics in Iterative Decoders", Proc of ICC, pp. 1-6, June 14-18, 2009.
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[21] Taskaldiran, M., Morling, R.C.S., Kale, I., "The modified Max-Log-MAP turbo decoding algorithm by extrinsic information scaling for wireless applications", Powell, Steven and Shim, J.P., (eds.) Wireless technology: applications, management, and security. Lecture notes in electrical engineering (44). Springer. ISBN 9780387717869, 2009.
[CrossRef] [SCOPUS Times Cited 6]


[22] Trifina, L., Tarniceriu, D., Rotopanescu, A.-M., "Influence of Extrinsic Information Scaling Coefficient on Double-Iterative Decoding Algorithm for Space-Time Turbo Codes with Large Number of Antennas," Advances in Electrical and Computer Engineering, vol. 11, no. 1, pp. 85-90, 2011,
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[23] Berrou, C., Vaton, S., Jezequel, M., Douillard, C., "Computing the minimum distance of linear codes by the error impulse method," Proc of Globecom, pp. 10-14, 2002.
[CrossRef]


[24] Berrou, C., "Some clinical aspects of turbo codes", Proc of Intern Symp on Turbo Codes and Rel Topics, Brest, France, pp. 26-31, September 1997.

[25] Garello, R., Vila-Casado, A., "The All-Zero Iterative Decoding Algorithm for Turbo Code Minimum Distance Computation", Proc of ICC, pp. 361 - 364, June 20-24, 2004,
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[26] Crozier, S., Guinand, P. Hunt, A., "Computing the Minimum Distance of Turbo-Codes Using Iterative Decoding Techniques", Proc of 22nd Biennial Symposium on Communications, Kingston, Ontario, Canada, pp.306-308, May 31-June 3, 2004.

[27] Crozier, S., Guinand, P., Hunt, A., "Estimating the Minimum Distance of Turbo-Codes Using Double and Triple Impulse Methods", IEEE Commun Lett, vol. 9, no.7, pp.631-633, July 2005.
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[28] Matache, A., Dolinar, S., Pollara, F., "Stopping Rules for Turbo Decoders", TMO Progress Report 42-142, Jet Propulsion Laboratory, Pasadena, California, August 2000.

[29] Balta, H., Douillard, C., Kovaci, M., "The Minimum Likelihood APP Based Early Stopping Criterion for Multi-Binary Turbo Codes", Scientific Bulletin of Politehnica University of Timisoara, Transactions on Electronics and Communications, Timisoara, Romania, Tome 51-65, Beam 2, pp.199-203, 2006.

[30] Douillard, C., Berrou, C., "Turbo Codes With Rate-m/(m+1) Constituent Convolutional Codes", IEEE T Commun, vol. 53, no. 10, pp.1630-1638, October 2005.
[CrossRef] [Web of Science Times Cited 113] [SCOPUS Times Cited 139]




References Weight

Web of Science® Citations for all references: 815 TCR
SCOPUS® Citations for all references: 11,006 TCR

Web of Science® Average Citations per reference: 26 ACR
SCOPUS® Average Citations per reference: 355 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 2024-12-10 22:02 in 176 seconds.




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