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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
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ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 644266260
doi: 10.4316/AECE


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  2/2013 - 13

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: 312 | Views: 2,321

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

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[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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[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.

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References Weight

Web of Science® Citations for all references: 604 TCR
SCOPUS® Citations for all references: 6,961 TCR

Web of Science® Average Citations per reference: 19 ACR
SCOPUS® Average Citations per reference: 225 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 2016-12-07 00:30 in 129 seconds.




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