一种基于scale的提前终止迭代策略的极化码 ——BP译码算法
Journal: Advances in Computer and Autonomous Intelligence Research DOI: 10.12238/acair.v2i2.7402
Abstract
基于提前终止迭代策略的极化码改进BP译码算法主要利用信息比特的似然比,观察信息比特的似然比的变化值与收敛阈值的大小,判断信息比特是否收敛,当所有信息比特都达到收敛时,停止迭代。这一算法降低了迭代次数,但在每一次迭代时,需要判断所有信息比特,无疑增加了空间复杂度和时间复杂度。仿真表明,每个信息比特的停止译码时,其平均迭代次数是不一致的,迭代次数均值在整体上有递增趋势；整体的收敛情况,通过判断部分信息比特收敛即可。本文提出一种基于scale的提前终止迭代译码算法,本质是判断部分信息比特,这部分信息比特数量相当于信息比特总数乘以scale因子,当这部分信息比特收敛的时候,整体译码终止。仿真结果表明,与提前终止迭代策略的极化码改进BP译码算法相比,性能没有下降,译码空间复杂度减少了O（（1-a）·K）（0＜a＜1）其中(K为信息比特个数)。
Keywords
极化码；BP译码；scale因子；提前终止迭代
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