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一种混合多边缘型LDPC码密度进化算法
孙尔京,李学华,欧莹,姚媛媛
0
(北京信息科技大学 信息与通信工程学院,北京 100101)
摘要:
在二进制输入加性高斯白噪声信道下,研究了基于多边缘型低密度奇偶校验码(Multi-edge Low Density Parity Check,MET-LDPC)的密度进化算法。针对高斯近似算法在前期迭代中的不准确问题,提出了一种改进算法。在分析MET-LDPC码的密度进化的基础上,将全密度进化与高斯近似算法结合,通过设置切换限制条件,弥补早期迭代的不准确,提高编码阈值估计的准确性。仿真结果表明,与MET-LDPC全密度进化算法相比,所提算法可以有效提高编码阈值估计的准确性,对LDPC编码的设计有一定的参考价值。
关键词:  多边缘型低密度奇偶校验(MET-LDPC)  密度演化  高斯近似  编码阈值估计
DOI:
基金项目:国家自然科学基金青年基金项目(61601038);北京信息科技大学师资补充与支持计划(5029011103)
A hybrid multi-edge LDPC code density evolution algorithm
SUN Erjing,LI Xuehua,OU Ying,YAO Yuanyuan
(School of Information and Communication Engineering,Beijing Information Science and Technology University,Beijing 100101,China)
Abstract:
In the binary input additive Gauss white noise channel,the density evolution algorithm based on the multi-edge low density parity check(MET-LDPC) code is studied.An improved algorithm is proposed for the inaccuracy of the Gauss approximation in the previous iteration.According to the analysis of the density evolution of MET-LDPC code,full density evolution is combined with Gauss approximation algorithm,the inaccuracy of the early iteration is offset,and the accuracy of the code threshold estimation is improved by setting the switching restriction conditions.The simulation results show that,compared with that of the MET-LDPC full density evolution algorithm,the accuracy of the code threshold estimation can effectively be improved with the hybrid density evolution algorithm,which has a certain reference value for the design of LDPC coding.
Key words:  multi-edge low density parity check(MET-LDPC)  density evolution  Gauss approximation  code threshold estimation
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