论文标题
扫描列表解码极性代码
SCAN List Decoding of Polar Codes
论文作者
论文摘要
在本文中，我们提出了基于解码阶段置换的极性代码的增强的软取消（扫描）解码器。拟议的软取消列表（SCANL）解码器运行$ L $独立扫描解码器，每个解码器都依赖于不同的排列因子图。估计的位是通过解码器提供的专用度量的$ L $候选者选择的。此外，我们引入了一种早期终止方案，可减少解码潜伏期而不影响误差校正性能。我们研究了所提出的方案的误差校正性能，在所使用的迭代次数，排列集和早期终止条件的各种组合下。仿真结果表明，与信仰传播清单相比，所提出的SCANL提供了相似的结果，同时复杂性较小。此外，对于大列表尺寸，Scanl的表现优于非CRC辅助连续取消列表解码。
In this paper we propose an enhanced soft cancellation (SCAN) decoder for polar codes based on decoding stages permutation. The proposed soft cancellation list (SCANL) decoder runs $L$ independent SCAN decoders, each one relying on a different permuted factor graph. The estimated bits are selected among the $L$ candidates through a dedicated metric provided by the decoders. Furthermore, we introduce an early-termination scheme reducing decoding latency without affecting error correction performance. We investigate the error-correction performance of the proposed scheme under various combinations of number of iterations used, permutation set and early-termination condition. Simulation results show that the proposed SCANL provides similar results when compared with belief propagation list, while having a smaller complexity. Moreover, for large list sizes, SCANL outperforms non-CRC aided successive cancellation list decoding.
