摘要
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。
Systematic polar codes has better error performance than non-systematic polar codes, but there is no explicit sys- tematic 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 se- quence check successive cancellation list is proposed to solve this problem. This scheme is path adaptive, it eliminates re- coding 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 per- formance comparing with the concatenated decoding scheme based on adaptive successive cancellation list.
出处
《信号处理》
CSCD
北大核心
2017年第5期766-773,共8页
Journal of Signal Processing
关键词
系统极化码
系统译码
再编码
翻转序列校验
罗列连续消除算法
systematic polar codes
systematic decoding
recoding
reversed sequence check
successive cancellation listalgorithm
