摘要
针对基于大数逻辑的多元低密度奇偶校验(Low-Density Parity-Check, LDPC)码译码算法,提出2种对于IISRB改进的算法:一种为调整初始可靠度的IA-IISRB算法,在初始化时引入调整策略,对信道初始可靠度进行预裁剪,目的是为了补偿部分信道初始信息不准确的问题;另一种为改进的重新选择策略的IRS-IISRB算法,为降低译码复杂度,在重新选择方案上,简化变量节点的筛选条件,并且为进一步逃离周期点,通过提高翻转阈值,扩大了变量节点的选定范围,提高有效信息利用率。仿真实验结果表明,所提出的IA-IISRB算法相比于IISRB算法,实现了0.1 dB的性能提升,IRS-IISRB算法相比于RS-IISRB算法,在提升0.05 dB译码性能的情况下,能减少约35%的译码计算量。
For the nonbinary Low-Density Parity-Check(LDPC)decoding algorithm based on majority-logic,two algorithms for Improved Iterative Soft-Reliability-Based(IISRB)improvement are proposed.One is the IA-IISRB algorithm adjusting the initial reliability,which introduces an adjustment strategy at initialization stage to pre-clip the initial reliability of the channel with the purpose of compensating inaccurate initial information of some channels;the other is the improved reselection strategy of IRS-IISRB algorithm,which simplifies the screening conditions of variable nodes in the reselection scheme in order to reduce decoding complexity,and to further escape from periodic points,the algorithm expands the selected range of variable nodes by increasing the flip-flop threshold,thus improving effective utilization of information.Experimental results of simulation show that the proposed IA-IISRB algorithm achieves a performance improvement of 0.1 dB compared with IISRB algorithm,and the IRS-IISRB algorithm also reduces the decoding computation by about 35%with a decoding performance improvement of 0.05 dB compared with RS-IISRB algorithm.
作者
莫莉歆
黎相成
黄奕俊
孙友明
陈海强
MO Lixin;LI Xiangcheng;HUANG Yijun;SUN Youming;CHEN Haiqiang(School of Computer,Electronics and Information,Guangxi University,Nanning 530004,China;Guangxi Colleges and Universities Key Laboratory of Multimedia Communications and Information Processing,Nanning 530004,China;Guangxi Key Laboratory of Multimedia Communication and Network Technology,Nanning 530004,China)
出处
《无线电工程》
北大核心
2023年第4期968-975,共8页
Radio Engineering
基金
国家自然科学基金(61761006,61961004)。
