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Mitigating Correlation Problems in Turbo Decoders

Ronald Garzón-Bohórquez 1, 2 Rami Klaimi 1, 2 Charbel Abdel Nour 1, 2 Catherine Douillard 1, 2
2 Lab-STICC_IMTA_CACS_IAS
Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance
Abstract : In this paper, new interleaver design criteria for turbo codes are proposed, targeting the reduction of the correlation between component decoders. To go beyond the already known correlation girth maximization, we propose several additional criteria that limit the impact of short correlation cycles and increase code diversity. Two application examples are elaborated, targeting an 8-state binary turbo code and a non-binary turbo code defined over GF(64). The proposed design criteria are shown to improve the error correcting performance of the code, especially in the error floor region.
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Submitted on : Wednesday, September 5, 2018 - 6:03:59 PM
Last modification on : Wednesday, August 5, 2020 - 3:50:30 AM
Long-term archiving on: : Thursday, December 6, 2018 - 5:53:39 PM

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Ronald Garzón-Bohórquez, Rami Klaimi, Charbel Abdel Nour, Catherine Douillard. Mitigating Correlation Problems in Turbo Decoders. 10th International Symposium on Turbo Codes & Iterative Information Processing (ISTC 2018), Dec 2018, Hong Kong, Hong Kong SAR China. ⟨10.1109/ISTC.2018.8625316⟩. ⟨hal-01868761⟩

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