Novel semi-blind estimation for turbo decoding in impulsive noise channel
| Autor: | Djamel Saigaa, Ali Chemsa, Abdelmalik Taleb-Ahmed, Hatem Ghodbane |
|---|---|
| Přispěvatelé: | Laboratoire d'Automatique, de Mécanique et d'Informatique industrielles et Humaines - UMR 8201 (LAMIH), INSA Institut National des Sciences Appliquées Hauts-de-France (INSA Hauts-De-France)-Centre National de la Recherche Scientifique (CNRS)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC) |
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
Engineering
Mean squared error Noise (signal processing) business.industry Strategy and Management 020206 networking & telecommunications 020302 automobile design & engineering 02 engineering and technology Data_CODINGANDINFORMATIONTHEORY Signal Shape parameter [SPI.AUTO]Engineering Sciences [physics]/Automatic 0203 mechanical engineering 0202 electrical engineering electronic engineering information engineering Turbo code Electronic engineering Safety Risk Reliability and Quality business Difference-map algorithm Algorithm Generalized normal distribution Phase-shift keying Computer Science::Information Theory |
| Zdroj: | International Journal of System Assurance Engineering and Management International Journal of System Assurance Engineering and Management, 2017, 8 (S1), pp.188-197. ⟨10.1007/s13198-015-0341-y⟩ |
| ISSN: | 0975-6809 |
| DOI: | 10.1007/s13198-015-0341-y⟩ |
| Popis: | International audience; In order to calculate the branches metric in the maximum a posteriori algorithm of turbo decoder, it is mandatory to know the values of parameters of the noise contaminating the transmitted signal. In the case of a generalized Gaussian distribution impulsive noise, it is very difficult to estimate the shape parameter, because the noise is inseparable from transmitted signal at turbo decoder reception. Until now, few researches about shape parameter estimation for an impulsive noise on turbo codes have been presented, and existing estimation methods use only the high order statistics (HOS). In this paper, we propose a novel semi-blind method, that does not use the HOS, to estimate the shape parameter from only the received signal in the turbo decoder. This method is based on fractional lower order statistics and the probability that the received signal is the same sign as the transmitted signal modulated with BPSK. The results, in terms of root mean square error, show the advantage of our method over other methods using HOS in the case of impulsive noise. |
| Databáze: | OpenAIRE |
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