Design and implementation of a soft-decision decoder for Cortex codes

Patrick Adde 1, 2 Christophe Jego 3 Raphaël Le Bidan 4, 5 Ernesto Perez Chamorro Jorge 1, 2
1 Lab-STICC_TB_CACS_IAS
Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (UMR 3192)
4 Lab-STICC_TB_CACS_COM
Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (UMR 3192)
Abstract : Cortex codes are a family of rate-1/2 self-dual systematic linear block codes with good distance properties. This paper investigates the challenging issue of designing an efficient soft-decision decoder for Cortex codes. A dedicated algorithm is introduced that takes advantage of the particular structure of the code to simplify the decoding. Simulation results show that the proposed algorithm achieves an excellent trade-off between performance and complexity for short Cortex codes. A decoder architecture for the (32,16,8) Cortex code based on the (4,2,2) Hadamard code has been successfully designed and implemented on FPGA device. To our knowledge, this is the first efficient digital implementation of a soft-decision Cortex decoder.
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Patrick Adde, Christophe Jego, Raphaël Le Bidan, Ernesto Perez Chamorro Jorge. Design and implementation of a soft-decision decoder for Cortex codes. ICECS 2010 IEEE international conference on electronics, circuits, and systems, Dec 2010, Athens, Greece. pp.663 - 666. ⟨hal-00617881⟩

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