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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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Clarivate Analytics published the InCites Journal Citations Report for 2017. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.699, and the JCR 5-Year Impact Factor is 0.674.

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With new technologies, such as mobile communications, internet of things, and wide applications of social media, organizations generate a huge volume of data, much faster than several years ago. Big data, characterized by high volume, diversity and velocity, increasingly drives decision making and is changing the landscape of business intelligence, from governments to private organizations, from communities to individuals. Big data analytics that discover insights from evidences has a high demand for computing efficiency, knowledge discovery, problem solving, and event prediction. We dedicate a special section of Issue 4/2017 to Big Data. Prospective authors are asked to make the submissions for this section no later than the 31st of May 2017, placing "BigData - " before the paper title in OpenConf.

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  4/2016 - 11

Correction Impulse Method for Turbo Decoding over Middleton Class-A Impulsive Noise

TRIFINA, L. See more information about TRIFINA, L. on SCOPUS See more information about TRIFINA, L. on IEEExplore See more information about TRIFINA, L. on Web of Science, TARNICERIU, D. See more information about  TARNICERIU, D. on SCOPUS See more information about  TARNICERIU, D. on SCOPUS See more information about TARNICERIU, D. 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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Author keywords
correction impulse method, error-correcting codes, error-floor, Middleton Class-A impulsive noise, turbo codes

References keywords
turbo(13), decoding(6), codes(6), communications(5), performance(4), noise(4), error(4), electromagnetic(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2016-11-30
Volume 16, Issue 4, Year 2016, On page(s): 71 - 76
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2016.04011
Web of Science Accession Number: 000390675900011
SCOPUS ID: 85007552103

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The correction impulse method (CIM) is very effective to achieve low error rates in turbo decoding. It was applied for transmission over Additive White Gaussian Noise (AWGN) channels, where the correction impulse value must be a real number greater than the minimum distance of the turbo code. The original version of CIM can not be used for channels modeled as Middleton additive white Class-A impulsive noise (MAWCAIN), because of nonlinearity of channel reliability. Thus, in this paper we propose two ways to modify the method such that it improves the system performances in the case of aforementioned channels. In the first one, the value of the correction impulse is chosen to maximize the channel reliability. It depends on the signal to noise ratio (SNR) and the error rates are significantly improved compared to those obtained by using the correction impulse value applied for AWGN channels. The second version is based on the least squares method and performs an approximation of the correction impulse. The approximated value depends on the SNR and the parameter A of the MAWCAIN model. The differences between the error rates obtained by the two proposed methods are negligible.

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

[1] C. Berrou, A. Glavieux, P. Thitimajshima, "Near Shannon Limit Error-Correcting Coding and Decoding: Turbo-Codes", Proceedings of IEEE International Conference on Communications ICC’93, Geneva, pp. 1064-1070, 1993.

[2] Y. Ould-Cheikh-Mouhamedou, S. Crozier, K. Gracie, P. Guinand, P. Kabal, "A Method for Lowering Turbo Code Error Flare using Correction Impulses and Repeated Decoding", Proceedings of 4th International Symposium on Turbo Codes & Related Topics, Munich, Germany, 6 pages, 2006.

[3] Y. Ould-Cheikh-Mouhamedou, S. Crozier, "Improving the Error Rate Performance of Turbo Codes using the Forced Symbol Method", IEEE Communications Letters, vol. 11, no. 7, pp. 616-618, 2007.
[CrossRef] [Web of Science Times Cited 12] [SCOPUS Times Cited 17]

[4] D. Middleton, "Statistical-Physical Model of Electromagnetic Interference", IEEE Transactions on Electromagnetic Compatibility, vol. EMC-19, no. 3, Part I, pp. 106-126, 1977.
[CrossRef] [Web of Science Times Cited 494] [SCOPUS Times Cited 594]

[5] D. Middleton, "Procedures for Determining the Parameters of the First-Order Canonical Models of Class A and Class B Electromagnetic Interference", IEEE Transactions on Electromagnetic Compatibility, vol. EMC-21, no. 3, pp. 190-208, 1979.
[CrossRef] [Web of Science Times Cited 103] [SCOPUS Times Cited 126]

[6] D. Umehara, H. Yamaguchi, Y. Morihiro, "Turbo Decoding over Impulse Noise Channel", Proceedings of the International Symposium on Power Line Communications ISPLC 2004, Zaragosa, Spain, pp. 51-56, 2004.

[7] M. Andrei, L. Trifina, D. Tarniceriu, "Performance Analysis of Turbo-Coded Decode-and-Forward Relay Channels with Middleton Class-A Impulsive Noise", Advances in Electrical and Computer Engineering, vol. 14, nr. 4, pp. 35-42, 2014.
[CrossRef] [Full Text] [Web of Science Times Cited 2] [SCOPUS Times Cited 3]

[8] N. Andreadou, F.-N. Pavlidou, "PLC Channel: Impulsive Noise Modeling and Its Performance Evaluation Under Different Array Coding Schemes", IEEE Transactions on Power Delivery, vol. 24, no. 2, pp. 585-595, 2009.
[CrossRef] [Web of Science Times Cited 34] [SCOPUS Times Cited 42]

[9] S. Crozier, P. Guinand, "High-performance low-memory interleaver banks for turbo-codes", Proceedings of 54th IEEE Vehicular Technology Conference, Atlantic City, NJ, vol. 4, pp. 2394-2398, 2001.

[10] P. Guinand, J. Lodge, "Trellis Termination for Turbo Encoders", Proceedings of the 17th Biennial Symposium On Communications, Queen’s University, Kingston, Canada, pp. 389-392, 1994.

[11] 3GPP Technical Specification TS 36.212. LTE; Evolved Universal Terrestrial Radio Access (E-UTRA); Multiplexing and channel coding, version 10.0.0 Release 10, 2011.

[12] D. Umehara, H. Yamaguchi, Y. Morihiro, "Turbo Decoding in Impulsive Noise Environment", Proceedings of the IEEE Global Telecommunications Conference GOBECOM’04, Dallas, Texas, USA, pp. 194-198, 2004.

[13] L.R. Bahl, J. Cocke, F. Jelinek, J. Raviv, "Optimal Decoding of Linear Codes for Minimizing Symbol Error Rate", IEEE Transactions on Information Theory, vol. 20, nr. 2, pp. 284-287, 1974.
[CrossRef] [SCOPUS Times Cited 4570]

[14] J. Vogt, A. Finger, "Improving the max-log-MAP turbo decoder", Electronics Letters, vol. 36, no. 23, pp. 1937-1939, 2000.
[CrossRef] [Web of Science Times Cited 141] [SCOPUS Times Cited 224]

[15] L. Trifina, D. Tarniceriu, H. Balta, "Threshold Determining for MinabsLLR Stopping Criterion for Turbo Codes", Frequenz, vol. 67, no. 9-10, pp. 321-326, 2013.
[CrossRef] [Web of Science Times Cited 8] [SCOPUS Times Cited 8]

[16] H. Balta, M. Kovaci, "A Study on Turbo Decoding Iterative Algorithms", Scientific Bulletin of Politehnica University Timisoara - Transactions on Electronics and Communications, vol. 49(63), no. 2, pp. 33-37, 2004.

[17] A. Matache, S. Dolinar and F Pollara, "Stopping Rules for Turbo Decoders", Jet Propulsion Laboratory, Pasadena, California, TMO Progress Report 42-142, 2000.

References Weight

Web of Science® Citations for all references: 794 TCR
SCOPUS® Citations for all references: 5,584 TCR

Web of Science® Average Citations per reference: 44 ACR
SCOPUS® Average Citations per reference: 310 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

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