系统极化码的翻转序列校验辅助罗列连续消除译码算法

系统极化码具有比非系统极化码更好的误码性能，但目前尚无明确的系统译码算法，因此通常采用非系统译码与再编码级联的方式实现系统极化码的译码，但这会带来极大的译码时延。针对这个问题，本文提出了一种基于翻转序列校验罗列连续消除算法的系统译码方案。该方案具有路径自适应的特性，利用回溯更新过程消除了再编码过程，且通过更新校验交替策略极大降低了资源占用。研究表明，与基于AD-SCL的级联译码方案相比，改进方案能降低50%的资源占用与译码延时，且其误码性能稍有提高。 

Reversed Sequence Check-Aided Successive-Cancellation List Decoder for Systematic Polar Codes

Systematic polar codes has better error performance than non-systematic polar codes, but there is no explicit systematic decoding algorithm. The scheme, Non-systematic decoding algorithms cascade recoding procedure, is used for the decoding of systematic polar codes usually, but it takes great latency. A systematic decoding scheme based on reverse sequence check successive cancellation list is proposed to solve this problem. This scheme is path adaptive, it eliminates recoding procedure with the trace-back update and reduces resources occupation by update-check strategy. The researches show that this scheme can reduce 50% resources occupation as well as decoding latency, and achieve slightly better performance comparing with the concatenated decoding scheme based on adaptive successive cancellation list.