@article {Azougaghe202211, title = {Turbo decoding of concatenated codes based on RS codes using adapted scaling factors}, journal = {Infocommunications Journal}, volume = {14}, number = {1}, year = {2022}, note = {cited By 0}, pages = {11-16}, abstract = {Iteratively decoded block turbo codes are product codes that exhibit excellent performance with reasonable com-plexity. In this paper, a generalization of parallel concatenated block codes (GPCBs) based on RS codes is presented. We propose an efficient decoding algorithm with modifications of the Chase- Pyndiah algorithm is written by using Weighting factor α and Reliability factor β. In this work, we studied the effect of diverse parametres such as the effect of various component codes, interleaver size (number of sub-blocks) and number of iterations. The simulation results shows the relevance of the adapted parameters to decode generalized parallel concatenated block codes based on RS codes. The proposed algorithm (MCP) using the adapted parameters performs better than the one using with empirical parameters (CP). {\textcopyright} 2022 Scientific Association for Infocommunications. All rights reserved.}, keywords = {Block codes, Block Turbo codes, Chase decoding, Concatenated codes, Generalized parallel con-catenated code, Iterative decoding, Iterative decodings, Modified chase- pyndiah algorithm, Performance, Product code, RS codes, Scaling factors, Turbo codes, Turbo decoding}, doi = {10.36244/ICJ.2022.1.2}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85129965517\&doi=10.36244\%2fICJ.2022.1.2\&partnerID=40\&md5=b8b9da3f379cbf44233c273bb8f4108f}, author = {Azougaghe, E.-S. and Farchane, A. and Safi, S. and Belkasmi, M.} }