Binary Message Passing Decoding of Product Codes Based on Generalized Minimum Distance Decoding : (Invited Paper)
We propose a binary message passing decoding algorithm for product codes based on generalized minimum distance decoding (GMDD) of the component codes, where the last stage of the GMDD makes a decision based on the Hamming distance metric. The proposed algorithm closes half of the gap between convent...
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| Veröffentlicht in: | 2019 53rd Annual Conference on Information Sciences and Systems (CISS) S. 1 - 5 |
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| Hauptverfasser: | , , |
| Format: | Tagungsbericht |
| Sprache: | Englisch |
| Veröffentlicht: |
IEEE
01.03.2019
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| Schlagworte: | |
| Online-Zugang: | Volltext |
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| Zusammenfassung: | We propose a binary message passing decoding algorithm for product codes based on generalized minimum distance decoding (GMDD) of the component codes, where the last stage of the GMDD makes a decision based on the Hamming distance metric. The proposed algorithm closes half of the gap between conventional iterative bounded distance decoding (iBDD) and turbo product decoding based on the Chase-Pyndiah algorithm, at the expense of some increase in complexity. Furthermore, the proposed algorithm entails only a limited increase in data flow compared to iBDD. |
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| DOI: | 10.1109/CISS.2019.8692862 |