Efficient Information Set Decoding Based on Genetic Algorithms

Provided by: Scientific Research
Topic: Software
Format: PDF
In this paper, the authors 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 they 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).

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