Efficient Information Set Decoding Based on Genetic Algorithms

作     者：Ahmed Azouaoui Idriss Chana Mostafa Belkasmi 

作者机构：SIME Lab. ENSIAS Mohammed V-Souissi University Rabat Morocco 

出 版 物：《International Journal of Communications, Network and System Sciences》 (通讯、网络与系统学国际期刊（英文）)

年 卷 期：2012年第5卷第7期

页      面：423-429页

学科分类：0810[工学-信息与通信工程] 08[工学] 081001[工学-通信与信息系统] 

主　　题：Genetic Algorithms (GA) Error Correcting Codes RS Codes Information Set Decoding Chase Algorithm 

摘      要：In this paper, we describe a hard-decision decoding technique based on Genetic Algorithms (HDGA), which is applicable to the general case of error correcting codes where the only known structure is given by the generating matrix G. Then we present a new soft-decision decoding based on HDGA and the Chase algorithm (SDGA). The performance of some binary and non-binary Linear Block Codes are given for HDGA and SDGA over Gaussian and Rayleigh channels. The performances show that the HDGA decoder has the same performances as the Berlekamp-Massey Algorithm (BMA) in various transmission channels. On the other hand, the performances of SDGA are equivalent to soft-decision decoding using Chase algorithm and BMA (Chase-BMA). The complexity of decoders proposed is also discussed and compared to those of other decoders.