Efficient Information Set Decoding Based on Genetic Algorithms

• 作者: Ahmed Azouaoui Idriss Chana Mostafa Belkasmi
• 来源期刊: 通讯、网络与系统学国际期刊(英文)
• 学科: 工学
• 关键词: Genetic ALGORITHMS (GA) ERROR CORRECTING CODES RS CODES Information Set DECODING CHASE Algorithm
• 年，卷（期）: 2012,（7）
• 页码范围: 423-429
• 页数: 7页
• 分类号: TN91

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.