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Iterative Decoding of GSCB Codes Based on RS Codes Using Adapted Scaling Factors

Titre	Iterative Decoding of GSCB Codes Based on RS Codes Using Adapted Scaling Factors
Publication Type	Journal Article
Year of Publication	2020
Authors	Azougaghe, E-S, Farchane, A, Safi, S, Belkasmi, M
Journal	Communications in Computer and Information Science
Volume	1264
Pagination	103-114
Mots-clés	Block codes, Component codes, Concatenated codes, Data communication systems, Interleavers, Iterative decoding, Number of iterations, Reliability factor, RS codes, Scaling factors, Security of data, Turbo product codes, Weighting factors
Abstract	In this work, we have extended two algorithms to decode generalized serially concatenated block codes based on RS codes (GSCB-RS). The first is the modified Chase-Pyndiah algorithm (MCPA) proposed by Farchane and Belkasmi[1]. The second is the Chase-Pyndiah algorithm (CPA) that is developed initially for decoding turbo product codes[2]. We also investigated the effect of different parameters, namely component codes, the size and structure of the interleaver and the number of iterations, using computer simulations. The simulations result shows that the performance of the GSCB-RS codes using the MCPA decoder out performs the CPA decoder that uses predetermined weighting factor (α) and reliability factor (β) parameters. © 2020, Springer Nature Switzerland AG.
URL	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097364331&doi=10.1007%2f978-3-030-61143-9_9&partnerID=40&md5=5a3be47852101aec7c21c1ee8c52200c
DOI	10.1007/978-3-030-61143-9_9