LDPC码基于双修正因子的剩余度置信传播译码算法  

Two correction factors based residual belief-propagation algorithm for LDPC codes

作　　者：周华[1,2,3] 赵良 李诚谦 ZHOU Hua;ZHAO Liang;LI Chengqian(School of Electronic and Information Engineering,Nanjing University of Information Science and Technology,Nanjing 210044,China;Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment Technology,Nanjing 210044,China;Jiangsu Key Laboratory of Meteorological Observation and Information Processing,Nanjing 210044,China)

机构地区：[1]南京信息工程大学电子与信息工程学院,江苏南京210044 [2]江苏省大气环境与装备技术协同创新中心,江苏南京210044 [3]江苏省气象探测与信息处理重点实验室,江苏南京210044

出　　处：《现代电子技术》2019年第11期15-18,23,共5页Modern Electronics Technique

基　　金：国家自然科学基金(61401216);江苏高校优势学科Ⅱ期建设工程资助项目~~

摘　　要：通过对LDPC码的RBP和NWRBP译码算法进行研究,针对算法在译码过程中运算量过大,不利于在硬件上实现的问题,提出一种改进型的RBP和NWRBP译码算法。该算法在更新从检验节点到变量节点的信息时,采用最小和算法得出近似值,以此降低译码复杂度。同时,为了弥补近似值所带来的译码性能损失,引入乘性修正因子和加性修正因子来提高译码性能。The residual belief-propagation(RBP)and node-wise residual belief-propagation(NWRBP)decoding algorithm for low-density parity-check(LDPC)codes is researched,but it has excessive computing amount in decoding process,and is difficult to implement with hardware.Therefore,the improved RBP and NWRBP decoding algorithm are proposed.When the algorithm is used to update the information from check nodes to variable nodes,the Min-Sum(MS)algorithm is adopted to obtain the approximate value,so as to reduce the complexity of decoding.In the meanwhile,in order to compensate for the decoding performance loss caused by the approximate value,the multiplicative correction factor and additive correction factor are introduced to improve the decoding performance successfully.

关 键 词：LDPC码 RBP算法 NWRBP算法 最小和算法 修正因子引入 信息更新 

分 类 号：TN919.32-34[电子电信—通信与信息系统]