一种误码条件下LDPC码稀疏校验矩阵重建算法  

A Method of Restructuring LDPC Parity-check Matrix in a Noisy Environment

作　　者：靳安钊 张永光 张明明[1,2] 翟绪论 JIN An-zhao;ZHANG Yong-guang;ZHANG Ming-ming;ZHAI Xu-lun(Science and Technology on Communication Information Security Control Laboratory,Jiaxing Zhejiang 314033,China;No.36 Research Institute of CETC,Jiaxing Zhejiang 314033,China)

机构地区：[1]通信信息控制和安全技术重点实验室,浙江嘉兴314033 [2]中国电子科技集团公司第三十六研究所,浙江嘉兴314033

出　　处：《通信对抗》2021年第3期17-21,共5页Communication Countermeasures

摘　　要：为了提高误码条件下LDPC码稀疏校验矩阵的重建效率,提出了一种在误码条件下LDPC码稀疏校验矩阵的重建算法。首先对K-阶列消元算法进行改进,利用该方法获得疑似对偶向量,提出一种新的疑似对偶向量判决阈值,筛选出真正的校验向量,然后在寻找小重量码字算法的基础上,提出了一种校验矩阵稀疏化算法,在误码条件下实现了LDPC码稀疏校验矩阵的重建。仿真结果表明,在误码条件下,提出的算法能够有效重建LDPC码稀疏校验矩阵,重建概率明显优于传统算法。In order to improve the performance of low density parity check code sparse parity-check matrix reconstruction algorithm in a noisy environment,this paper proposes a sparse parity-check matrix reconstruction algorithm。First,thesuspected dual vector isobtained accordingto theimproved k-order column elimination algorithm,and a new decision threshold is proposed to filter out the real check vector.Then a paritycheck matrix sparse algorithm is proposed based on an algorithm for finding low weight code-words,realized the reconstruction of sparse parity-check matrix.The experimental results show that the algorithm in this paper can achieve better performance in a noisy environment and improve the reconstruction probability of sparse parity-check matrix.

关 键 词：LDPC码 k-阶列消元 疑似对偶向量 稀疏校验矩阵 

分 类 号：TN911.22[电子电信—通信与信息系统]