A Soft Decoding of Linear Block Codes by Genetic Algorithms

نویسنده

  • Luke Hebbes
چکیده

Abstract— In this paper, we present a hard-decision decoding technique based on Genetic Algorithms (HDGA), which is applicable to the general case where the only known structure is given by the generating matrix G. We also present a new soft-decision decoding based on HDGA and the Chase algorithm (SDGA). The simulations, applied on some binary Linear Block Codes, show that the genetic decoder has the same performance as the Berlekamp-Massey Algorithm (BMA) and SDGA is equivalent to soft-decision decoding using Chase algorithm and BMA (Chase-BMA).

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تاریخ انتشار 2012