Bewaard in:
| Hoofdauteurs: | , , , , |
|---|---|
| Formaat: | Preprint |
| Gepubliceerd in: |
2025
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| Onderwerpen: | |
| Online toegang: | https://arxiv.org/abs/2505.08030 |
| Tags: |
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Inhoudsopgave:
- We consider generalized low-density parity-check (GLDPC) codes with component codes that are duals of Cordaro-Wagner codes. Two efficient decoding algorithms are proposed: one based on Hartmann-Rudolph processing, analogous to Sum-Product decoding, and another based on evaluating two hypotheses per bit, referred to as the Min-Sum decoder. Both algorithms are derived using latent variables and an appropriate message-passing schedule. A quantized, protograph-based density evolution procedure is used to optimize GLDPC codes for Min-Sum decoding. Compared to 5G LDPC codes, the proposed GLDPC codes offer similar performance at 50 iterations and significantly better convergence and performance at 10 iterations.