In streaming applications, doping improves the performance of spatially-coupled low-density parity-check (SC-LDPC) codes by creating reduced-degree check nodes in the coupled chain. We formulate a scaling law to predict the bit and block error rate of periodically-doped semi-infinite SC-LDPC code ensembles streamed over the binary erasure channel under sliding window decoding for a given finite component block length. The scaling law assumes that with some probability doping is equivalent to full termination and triggers two decoding waves; otherwise, decoding performs as if the coupled chain had not been doped at all. We approximate that probability and use the derived scaling laws to predict the error rates of SC-LDPC code ensembles in the presence of doping. The proposed scaling law provides accurate error rate predictions. We further use it to show that in streaming applications periodic doping can yield higher rates than periodic full termination for the same error-correcting performance.
翻译:在流式应用中, doping 通过在连锁链中创建低度检查节点来改进空间相混合的低密度对等检查(SC-LDPC)代码的性能。 我们制定了一个缩放法,以预测在滑动窗口下对特定有限部件块长度解码的二进制淡化通道中流出的半无限制 SC-LDPC 代码的位和块误差率。 缩放法假设, 有某种可能性的 dopping 相当于完全终止, 并触发两波解码波; 否则, 解码功能将表现为连锁根本没有过节 。 我们估计了这一概率, 并使用衍生的缩放法来预测在使用剂量时的 SC- LDPC 代码组合的误差率。 拟议的缩放法提供了准确的误率预测。 我们进一步使用它来显示, 在流式应用中, 定期 dopping能够产生比定期完全终止同一错误性能更高的速率 。