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On the Influence of the Extrinsic Information Scaling Coefficient on the Performance of Single and Double Binary Turbo CodesBALTA, H.   , DOUILLARD, C. |
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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
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. |
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.
Permission for other use: The copyright owner's consent does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific written permission must be obtained from the Editor for such copying. Direct linking to files hosted on this website is strictly prohibited.
Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.
