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| 极化码（Polar Codes）及其串行消除译码× | 低密度奇偶校验码 (LDPC)× | |
|---|---|---|
| 领域 | 电信 | 电信 |
| 方法族 | Process / pipeline | Process / pipeline |
| 起源年份≠ | 2009 | 1962 |
| 提出者≠ | Erdal Arikan | Robert Gallager |
| 类型≠ | recursive error-correcting code | linear error-correcting code |
| 开创性文献≠ | Arikan, E. (2009). Channel polarization: A method for constructing capacity-achieving codes for symmetric binary-input memoryless channels. IEEE Transactions on Information Theory, 55(7), 3051-3073. DOI ↗ | Gallager, R. G. (1962). Low-density parity-check codes. IRE Transactions on Information Theory, 8(1), 21-28. DOI ↗ |
| 别名 | channel polarization, recursive codes | sparse codes, belief propagation codes |
| 相关 | 5 | 5 |
| 摘要≠ | Polar codes, introduced by Erdal Arikan in 2009, are the first constructive family of codes proven to achieve the Shannon capacity of symmetric binary-input memoryless channels. They use recursive construction and successive cancellation decoding, a simple greedy algorithm with theoretical guarantees. Polar codes were adopted in 5G NR for control channel coding and are studied for future 6G systems. Unlike turbo and LDPC codes (which are empirical), polar codes provide rigorous theoretical foundations. | LDPC codes, invented by Robert Gallager in 1962 and rediscovered in the 1990s by MacKay, are linear error-correcting codes defined by sparse parity-check matrices. They achieve performance within 0.4 dB of the Shannon limit with iterative belief-propagation decoding and have become the standard for modern wireless (WiFi-6, 5G NR, Digital Video Broadcasting). Unlike turbo codes, LDPC codes have a more elegant graph-theoretic structure and more mature theoretical analysis. |
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