Wednesday 24th of April 2024
 

An Efficient Soft Decoder of Block Codes Based on Compact Genetic Algorithm


Ahmed Azouaoui, Ahlam Berkani and Mostafa Belkasmi

Soft-decision decoding is an NP-hard problem with great interest to developers of communication systems. We present an efficient soft-decision decoder of linear block codes based on compact genetic algorithm (cGA) and compare its performances with various other decoding algorithms including Shakeel algorithm. The proposed algorithm uses the dual code in contrast to Shakeel algorithm which uses the code itself. Hence, this new approach reduces the decoding complexity of high rates codes. The complexity and an optimized version of this new algorithm are also presented and discussed.

Keywords: Compact genetic algorithm, soft-decision decoding, Error correcting codes, Shakeel algorithm, Chase algorithm, BCH codes, RS codes, QR codes

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ABOUT THE AUTHORS

Ahmed Azouaoui
Ahmed Azouaoui received his license in Computer Science and Engineering in June-2001 and Master in Computer Science and telecommunication from University of Mohammed V - Agdal, Rabat, Morocco in 2003. Currently he is doing his PhD in Computer Science and Engineering at Department of Computer Science ENSIAS (Ecole Nationale Superieure d’Informatique et d’Analyse des Systems), Rabat, Morocco. His areas of interest are Information, Coding Theory and Artificial Intelligence.

Ahlam Berkani
SIME Lab., ENSIAS, Mohammed V-Souissi University, Rabat, Morocco

Mostafa Belkasmi
SIME Lab., ENSIAS, Mohammed V-Souissi University, Rabat, Morocco


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