Blind frame synchronization for error correcting codes having a sparse parity check matrix
Autor: | Rodrigue Imad, G. Sicot, Sebastien Houcke |
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Přispěvatelé: | Département Signal et Communications (SC), Université européenne de Bretagne - European University of Brittany (UEB)-Télécom Bretagne-Institut Mines-Télécom [Paris] (IMT), Lab-STICC_TB_CACS_COM, Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (UMR 3192) (Lab-STICC), Université européenne de Bretagne - European University of Brittany (UEB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-Télécom Bretagne-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université européenne de Bretagne - European University of Brittany (UEB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-Télécom Bretagne-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS) |
Jazyk: | angličtina |
Rok vydání: | 2009 |
Předmět: |
Theoretical computer science
LDPC codes channel coding Blind frame synchronization 020206 networking & telecommunications 02 engineering and technology Data_CODINGANDINFORMATIONTHEORY Frame synchronization convolutional codes Parity-check matrix Convolutional code 0202 electrical engineering electronic engineering information engineering Maximum a posteriori estimation MAP 020201 artificial intelligence & image processing Electrical and Electronic Engineering Low-density parity-check code Error detection and correction Algorithm [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing Mathematics Sparse matrix Parity bit |
Zdroj: | IEEE Transactions on Communications IEEE Transactions on Communications, Institute of Electrical and Electronics Engineers, 2009, 57 (6), pp.1574-1577. ⟨10.1109/TCOMM.2009.06.070445⟩ |
ISSN: | 0090-6778 |
Popis: | International audience; We present in this letter a blind frame synchronization method based on a Maximum A Posteriori probability (MAP) approach. Applied to coded communication systems, this method is based on the calculation of the Log-likelihood Ratios (LLR) of the syndrome obtained according to the parity check matrix of the code. After presenting the proposed method, we compare it to an existing blind synchronization method previously introduced. Simulation results show that the proposed method outperforms the existing one and presents good performance when applied to codes having a sparse parity check matrix such as Low Density Parity Check (LDPC) codes and convolutional codes. |
Databáze: | OpenAIRE |
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