In this paper,a family of rate-compatible(RC) low-density parity-check(LDPC) convolutional codes can be obtained from RC-LDPC block codes by graph extension method.The resulted RC-LDPC convolutional codes,which are de...In this paper,a family of rate-compatible(RC) low-density parity-check(LDPC) convolutional codes can be obtained from RC-LDPC block codes by graph extension method.The resulted RC-LDPC convolutional codes,which are derived by permuting the matrices of the corresponding RC-LDPC block codes,are systematic and have maximum encoding memory.Simulation results show that the proposed RC-LDPC convolutional codes with belief propagation(BP) decoding collectively offer a steady improvement on performance compared with the block counterparts over the binary-input additive white Gaussian noise channels(BI-AWGNCs).展开更多
In this paper, we propose a new method to derive a family of regular rate-compatible low-density parity-check（RC-LDPC） convolutional codes from RC-LDPC block codes. In the RC-LDPC convolutional family, each extended...In this paper, we propose a new method to derive a family of regular rate-compatible low-density parity-check（RC-LDPC） convolutional codes from RC-LDPC block codes. In the RC-LDPC convolutional family, each extended sub-matrix of each extended code is obtained by choosing specified elements from two fixed matrices HE1K and HE1K, which are derived by modifying the extended matrices HE1 and HE2 of a systematic RC-LDPC block code. The proposed method which is based on graph extension simplifies the design, and prevent the defects caused by the puncturing method. It can be used to generate both regular and irregular RC-LDPC convolutional codes. All resulted codes in the family are systematic which simplify the encoder structure and have maximum encoding memories which ensure the property. Simulation results show the family collectively offer a steady improvement in performance with code compatibility over binary-input additive white Gaussian noise channel（BI-AWGNC）.展开更多
第5代移动通信系统(5th generation mobile communication system,5G)业务需求的多样性以及各业务场景的典型特性给新空口(new radio,NR)的信道编码技术带来困难及挑战,信道编码方案成为通信业界及学术界的重要研究课题之一。因具备优...第5代移动通信系统(5th generation mobile communication system,5G)业务需求的多样性以及各业务场景的典型特性给新空口(new radio,NR)的信道编码技术带来困难及挑战,信道编码方案成为通信业界及学术界的重要研究课题之一。因具备优越性能,低密度奇偶校验(low-density parity-check,LDPC)码被确定为5G增强移动宽带(enhanced mobile broadband,e MBB)场景数据信道编码方案。在对5G及LDPC码进行概述的基础上,阐述了包括码设计、译码算法、速率匹配和性能评估在内的面向NR的LDPC码标准化工作研究内容。此外,对近年来第3代合作伙伴计划(3rd generation partnership project,3GPP)各成员机构在无线接入网层一(radio access network layer 1,RAN1)标准化工作组历次会议中提出的LDPC码编码方案进行分析和对比,并在此基础上对LDPC码标准化相关工作进行总结。展开更多
为了提高低密度奇偶校验(LDPC)码的单最小值最小和(single-minimum Min-Sum,sm MS)算法的误码性能,提出了一种基于变量节点LLR(Log Likelihood Ratio)消息加权的改进最小和(Improved Min Sum algorithm based on weighted message LLR o...为了提高低密度奇偶校验(LDPC)码的单最小值最小和(single-minimum Min-Sum,sm MS)算法的误码性能,提出了一种基于变量节点LLR(Log Likelihood Ratio)消息加权的改进最小和(Improved Min Sum algorithm based on weighted message LLR of variable nodes,IMS-WVN)算法。首先,将迭代次数所确定的次小值的估值参数与最小值相加后取代次小值,以增强sm MS算法校验节点的可靠度。然后,将变量节点输出LLR消息与迭代前LLR消息进行加权处理,降低变量节点的振荡幅度,降低平均译码迭代次数。仿真结果表明,在信噪比为3.2 d B时,IMS-WVN算法的误码性能比VWMS算法提升0.53 d B,当误码率为10-5时,IMS-WVN算法平均译码迭代次数较MS算法减少58%。展开更多
基金the National Natural Science Foundation of China(Nos.61401164,61471131 and 61201145)the Natural Science Foundation of Guangdong Province(No.2014A030310308)
文摘In this paper,a family of rate-compatible(RC) low-density parity-check(LDPC) convolutional codes can be obtained from RC-LDPC block codes by graph extension method.The resulted RC-LDPC convolutional codes,which are derived by permuting the matrices of the corresponding RC-LDPC block codes,are systematic and have maximum encoding memory.Simulation results show that the proposed RC-LDPC convolutional codes with belief propagation(BP) decoding collectively offer a steady improvement on performance compared with the block counterparts over the binary-input additive white Gaussian noise channels(BI-AWGNCs).
基金supported by the National Natural Science Foundation of China(No.61401164,No.61201145,No.61471175)the Natural Science Foundation of Guangdong Province of China(No.2014A030310308)the Supporting Plan for New Century Excellent Talents of the Ministry of Education(No.NCET-13-0805)
文摘In this paper, we propose a new method to derive a family of regular rate-compatible low-density parity-check（RC-LDPC） convolutional codes from RC-LDPC block codes. In the RC-LDPC convolutional family, each extended sub-matrix of each extended code is obtained by choosing specified elements from two fixed matrices HE1K and HE1K, which are derived by modifying the extended matrices HE1 and HE2 of a systematic RC-LDPC block code. The proposed method which is based on graph extension simplifies the design, and prevent the defects caused by the puncturing method. It can be used to generate both regular and irregular RC-LDPC convolutional codes. All resulted codes in the family are systematic which simplify the encoder structure and have maximum encoding memories which ensure the property. Simulation results show the family collectively offer a steady improvement in performance with code compatibility over binary-input additive white Gaussian noise channel（BI-AWGNC）.
文摘为了提高低密度奇偶校验(LDPC)码的单最小值最小和(single-minimum Min-Sum,sm MS)算法的误码性能,提出了一种基于变量节点LLR(Log Likelihood Ratio)消息加权的改进最小和(Improved Min Sum algorithm based on weighted message LLR of variable nodes,IMS-WVN)算法。首先,将迭代次数所确定的次小值的估值参数与最小值相加后取代次小值,以增强sm MS算法校验节点的可靠度。然后,将变量节点输出LLR消息与迭代前LLR消息进行加权处理,降低变量节点的振荡幅度,降低平均译码迭代次数。仿真结果表明,在信噪比为3.2 d B时,IMS-WVN算法的误码性能比VWMS算法提升0.53 d B,当误码率为10-5时,IMS-WVN算法平均译码迭代次数较MS算法减少58%。
