Turbo-like structures for chaos encoding and decoding

  • Authors:

  • Francisco J. Escribano;Slobodan Kozic;Luis López;Miguel A. F. Sanjuán;Martin Hasler

  • Affiliations:

  • Department of Signal Theory and Communications, Universidad Alcalá de Henares, Alcalá de Henares, Spain;Current Technologies International, Maegenwil, Switzerland and School of Computer and Communication Sciences, EPFL, Lausanne;Departamento de Sistemas Telemáticos y Computación, Universidad Rey Juan Carlos, Móstoles, Spain;Departamento de Física, Universidad Rey Juan Carlos, Móstoles, Spain;I&C, EPFL, Lausanne, Switzerland

  • Venue:
  • IEEE Transactions on Communications
  • Year:
  • 2009

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Abstract

In this paper, we explain how to build a turbo-like structure with binary inputs and chaotic outputs for efficient coding and decoding in additive white Gaussian noise (AWGN). We analyze the convergence of the decoding algorithm, the performance in the error floor region and explain minimum distance properties of the resulting codes.