基于双边类型低密度奇偶校验码的连续变量量子密钥分发多维数据协调

在连续变量量子密钥分发(CVQKD)多维数据协调过程中,低密度奇偶校验码(LDPC)的纠错性能直接影响协调效率和传输距离。构造了一种双边类型的低密度奇偶校验码(TET-LDPC),引入了类似于重复累积码中的累积结构以提高其纠错性能,在多维数据协调算法中得到了更小的收敛信噪比、更高的协调效率以及更远的传输距离。仿真结果表明:当TET-LDPC的码率为0.5,分组码长为2×10~5时,收敛信噪比降至1.02dB,协调效率达到了98.58%,安全密钥率达到17.61kb/s,CVQKD系统的传输距离提高为44.9km。     

连续变量量子密钥分发的数据逆向协调

基于多级编码/多级译码(MLC/MSD)系统实现了连续变量量子密钥分发的逆向数据协调。讨论了高斯连续变量量化过程中使互信息量最大时最佳量化区间的选取,并且通过理论计算给出了信噪比为4dB的情况下各级等价信道的最佳码率。协调方案中选择低密度奇偶校验码(LDPC)作为信道编码,结合边信息译码原理最终通过LDPC迭代译码算法实现了数据的逆向协调。     

量子高斯密钥分发中后处理的安全性分析

在量子高斯密钥分发实验中,后处理是提升数据协调效率和保证安全密钥提取的关键技术之一。通过分层纠错协议给出一种具体后处理的数据协调方案,并采用准循环低密度奇偶校验码与传统低密度奇偶校验码相级联的方式对信息进行压缩编码。结合零拍探测下的连续变量量子密钥分发,分析了个体攻击和集体攻击下采用正向协调和逆向协调的实验方案中密钥提取的安全性。实验结果表明:在码长为2×10~5,三、四级码率为0.3 0.95的数据协调方案中协调效率可达91.2%。采用最优攻击下可提取安全密钥量为3.98 kbit/s,而传输距离达30 km左右,证明了所提协调方案的安全性,能够满足城域网络的通信要求。     

光突发交换网络中基于LDPC码的丢包恢复机制(英文)

基于前向纠错编码理论,在光突发交换网络中提出一种丢包恢复机制来降低突发丢失率.构造了一种能对突发包进行在线编解码的低密度奇偶校验码.入口边缘节点通过对信息突发包进行在线编码产生冗余突发包,出口边缘节点利用译码算法从接收到的突发包中恢复出丢失的突发数据.另外,为信息突发包增加一个额外的偏置时间以减少冗余突发与信息突发竞争信道资源.通过OPNET仿真软件对不同丢包恢复机制的性能进行仿真,结果表明,与奇偶校验码提出的丢包恢复机制相比,具有更低的突发丢失率和良好的丢包恢复能力.     

光级联空时编码中的一种联合检测迭代译码算法

介绍了光多输入多输出(MIMO)系统的信道模型,通过将低密度校验码(LDPC)高可靠性的译码结果反馈给分层空时编码(BLAST)译码器,提出了一种适合于LDPC-VBLAST光级联空时编码系统的联合检测迭代译码算法。利用蒙特卡洛方法分析了该译码算法的误码性能,并和简单级联译码算法的性能进行了对比。结果表明:这种联合检测迭代译码算法的误码性能明显优于已有的简单译码算法。另外,采用数值分析法分析了迭代次数对该译码算法性能的影响,结果表明,在折衷考虑系统误码性能和译码算法复杂度的情况下,要合理选取迭代次数,即迭代次数不宜选取过大。     

长距离和多模接入网络中低密度奇偶校验-正交频分复用的性能研究

研究了低密度奇偶校验编码与正交频分复用相结合的编码调制技术,从理论上分析了光纤链路中色散和频率选择性衰落的影响,并通过数值模拟仿真,比较了不同编码码率的编码调制信号在长距离单模光纤传输和多模光纤接入网络中的传输性能.仿真结果表明,采用码率为0.75的长码型非规则的低密度奇偶校验编码与正交频分复用相结合的编码调制技术更适合光纤通信系统中的长距离传输和多模接入网络.     

基于MMSE的大气激光通信中LDPC码BP译码算法研究

针对大气激光通信中低密度奇偶校验码(LDPC)置信传播(BP)译码算法复杂度高的问题,对几类BP-Based简化译码算法进行了分析,并基于最小均方误差准则(MMSE)对Scaled BP-Based和Offset BP-Based两类改进译码算法的优化设计进行了探讨,得出两类算法的最优校正因子,并给出了数值计算.在不同的湍流强度下,对码长1008的(6,3)比特填充LDPC码进行了仿真实验,结果表明,对于短码长的LDPC码,当译码BER=10-5时,最小和算法(UMP BP-Based)相对于BP算法有0.1～0.15dB的译码性能损失;基于MMSE设计的两类算法相比BP算法大大降低复杂度的同时,译码性能与BP算法相当,甚至优于BP算法,优于UMP BP-Based算法0.075～0.15dB.     

基于MMSE的大气激光通信中LDPC码BP译码算法研究

针对大气激光通信中低密度奇偶校验码(LDPC)置信传播(BP)译码算法复杂度高的问题,对几类BP-Based简化译码算法进行了分析,并基于最小均方误差准则(MMSE)对Scaled BP-Based和Offset BP-Based两类改进译码算法的优化设计进行了探讨,得出两类算法的最优校正因子,并给出了数值计算.在不同的湍流强度下,对码长1008的(6,3)比特填充LDPC码进行了仿真实验,结果表明,对于短码长的LDPC码,当译码BER=10^-5时, 最小和算法(UMP BP-Based)相对于BP算法有0.1~0.15 dB的译码性能损失;基于MMSE设计的两类算法相比BP算法大大降低复杂度的同时,译码性能与BP算法相当,甚至优于BP算法,优于UMP BP-Based算法0.075~0.15 dB.     

基于平均预测残差的H.264宏块层码率控制算法

针对H.264码率控制模型的“蛋鸡悖论”，提出一种用平均预测残差来表示当前宏块编码复杂度的算法。首先根据各个宏块不同的编码复杂度进行准确的比特分配,然后根据改进的二次R-D预测模型来计算宏块的量化参数，并进行率失真优化,最后进行码率控制模型系数的更新。将算法在JM8.6平台上进行实验，结果显示，在相同码率下，本文算法的平均控制精度比JVT-H017提高0165 kb/s，平均PSNR比JVT-H017提高013 dB，表明本算法能够更准确控制码率并获得更高质量的主观视觉。     

长距离和多模接入网络中低密度奇偶校验-正交频分复用的性能研究

研究了低密度奇偶校验编码与正交频分复用相结合的编码调制技术,从理论上分析了光纤链路中色散和频率选择性衰落的影响,并通过数值模拟仿真,比较了不同编码码率的编码调制信号在长距离单模光纤传输和多模光纤接入网络中的传榆性能.仿真结果表明,采用码率为0.75的长码型非规则的低密度奇偶校验编码与正交频分复用相结合的编码调制技术更适...     

低密度奇偶校验码在光通信中的性能

低密度奇偶校验码(LDPC)不仅有逼近香农限的良好性能, 而且译码复杂度较低, 结构灵活, 是近年信道编码领域的研究热点, 在光通信系统中有广泛的应用前景。针对非规则Tanner图上构造的低密度奇偶校验长码具有良好的性能, 以及其在光通信系统中的应用, 构造了几种LDPC码, 并采用置信传播(BP)译码, 在加性高期白噪声(AWGN)信道、二相移相键空(BPSK)调制下进行了计算机仿真。根据规则LDPC码和非规则LDPC码的误码率(BER)和FER曲线, 对规则码和非规则LDPC码在编译码方面以及性能方面作了分析和比较, 进而对构造在光通信系统中具有实用价值的LDPC码提出了看法。通过理论分析与仿真结果表明LDPC 码型具有良好的性能, 可以节省硬件开销, 比较适用于光通信系统中, 可作为超强前向纠错码型的候选码。     

A novel construction algorithm of the LDPC code for high-speed long-haul optical transmission systems

According to the transmission characteristics of high-speed long-haul optical transmission system, the main construction method of Low-Density Parity-Check (LDPC) code for optical transmission system is presented and a novel construction algorithm of LDPC code is proposed, the theoretical analysis shows that the parity check matrix of the LDPC code constructed by the proposed construction algorithm has no four-girth phenomenon, this is also theoretically proved out. Both the novel LDPC(3969,3720) code with 6.69% redundancy and the novel LDPC(8281,7920) code with 4.56% redundancy for optical transmission systems are constructed by using the presented construction method and proposed construction algorithm. The simulation results show that the net coding gain (NCG) of the two novel LDPC codes at the eighteenth iteration for the BER of 10^?12 are respectively 1.63 dB and 1.49 dB more than that of the RS(255,239) code in ITU-T G.975. Moreover, the decoding of the LDPC code in the hardware can parallel be implemented, so the decoding speed of the two novel LDPC codes are very rapid, the complexities of implementing the two novel LDPC codes, compared with the concatenated codes in ITU-T G.975.1, are relatively lower, furthermore, the hardware overhead and storage space can relatively be saved and the computation complexity can be reduced in implementing the hardware in the future. As a result, the two novel LDPC codes can better be suitable for high-speed long-haul optical transmission systems.     

基于低密度奇偶校验码的超强前向纠错码设计

光纤中的传输效应(如色散、偏振模色散(PMD)和非线性效应等)会严重影响传输速率和传输距离的进一步提高。因而有必要研究性能更好的新超强前向纠错(Super-FEC) 码型,使其在光通信系统中获得更高的编码增益和更好的纠错性能。简单介绍了低密度奇偶校验(LDPC)码, 然后提出光通信系统中一种基于LDPC码的超强前向纠错(Super-FEC)码型,构造了冗余度为6.68%的新颖LDPC(3969,3720)码, 并给出超强FEC码型的仿真结果。通过与RS(255,239)及BCH(3860,3824)+BCH(2040,1930)进行对比分析, 还分析与探讨了新LDPC码型的编译码电路的设计实现问题。通过理论分析与仿真结果表明这种超强 FEC 码型具有良好的性能, 可以节省硬件开销, 比较适用于光通信系统中, 可作为超强 FEC 码型的候选码。     

Construction of Exponent matrix compatible for multiple lifting sizes for 5G New Radio

Rate-compatible non binary LDPC codes are used as coding scheme for data transmission in fifth generation new radio. In this paper, we have presented a method for construction of exponent matrix. We first discuss about the types of the cycles and analyze the cycles that are responsible for the degradation of the error performance of the LDPC codes. At low SNR and higher code rates the occurrence of errors will be high, as the parity bits are less at higher code rates. This becomes a challenge while constructing the exponent matrix. In order to fulfill the challenge, we propose a simple and practical algorithm to construct the exponent matrix. The constructed matrix can be used for various code rates and information lengths. The constructed matrix is based on second lifting size set of 5G standard. Simulation results show that the proposed algorithm is effective and exhibits that the constructed LDPC codes can even perform well at low SNR and at higher code rate.     

Half-duplex relaying with serially concatenated low-density generator matrix (SCLDGM) codes

Recently, the integration of cooperation with coding has proven to be a very useful technique to enhance relay system performance. Relay systems based on low-density parity-check (LDPC) codes have the potential to approach the theoretical information limits very closely. However, LDPC codes have a disadvantage in that the encoding complexity is high. To solve this problem, serially concatenated low-density generator matrix (SCLDGM) codes are attracting attention owing to their low encoding complexity. However, the performance of SCLDGM coded relaying has not been investigated. In this paper, we apply SCLDGM codes to relay channel with the motivation of lowering the encoding complexity. Since SCLDGM codes are concatenated codes, we cannot use the same method as LDPC coded relaying. We propose a new relaying system and three cooperation protocols suited for SCLDGM codes. Computer simulation results show that the bit error rate (BER) performance of the proposed system is equal to that of conventional LDPC coded relaying system.     

基于渐进添边的准循环压缩感知时延估计算法

针对时延估计问题中压缩感知类算法现有测量矩阵需要大量数据存储量的问题,提出了一种基于渐进添边的准循环压缩感知时延估计算法,实现了稀疏测量矩阵条件下接收信号时延的准确估计.该算法首先建立压缩感知与最大似然译码之间的理论桥梁,然后推导基于低密度奇偶校验码的测量矩阵的设计准则,引入渐进添边的思想构造具有准循环结构的稀疏测量矩阵,最后利用正交匹配追踪算法正确估计出时延.对本文算法的计算复杂度与测量矩阵的数据存储量进行理论分析.仿真结果表明,所提算法在测量矩阵维数相同的条件下正确重构概率高于高斯随机矩阵和随机奇偶校验测量矩阵,相比于随机奇偶校验矩阵,在数据存储量相等的条件下,以较少的计算复杂度代价得到了重构概率的较大提高.     

基于低密度奇偶校验码的MPPM比特符号映射及系统性能研究

建立了基于低密度奇偶校验(LDPC)码和多脉冲位置调制(MPPM)的无线光通信系统模型,给出了相应系统模型下的解码算法,研究了(m,2)MPPM的比特符号映射方式,提出了用改进的遗传算法(GA)搜索的优化映射方法,最后在大气湍流信道下进行了仿真。仿真结果表明基于LDPC码和MPPM的无线光通信系统性能明显优于未编码的MPPM系统,结合LDPC码和多光束发射技术可以提高系统抗强大气湍流影响的能力;通过GA优化的映射方法在不增加系统复杂性的情况下能进一步提高系统的纠错性能,可以获得更大的编码增益。     

Performance analysis and design of quasi-cyclic LDPC codes for underwater magnetic induction communications

Magnetic induction (MI) communication is an effective scheme for underwater wireless communication. In this paper, we aim to design an underwater MI communication system based on Quasi-cyclic LDPC (QC-LDPC) codes. Firstly, for a given QC-LDPC code used in underwater MI communication, we propose a novel algorithm to evaluate its performance, which is named as underwater magnetic induction protograph (UWMIP) extrinsic information transfer algorithm. Furthermore, we present a differential evolution UWMIP (DE-UWMIP) algorithm, which incorporates the differential evolution method and the UWMIP algorithm. By this algorithm, we search the optimized QC-LDPC codes with best distance threshold. Simulation results show that the proposed algorithm is effective and provide a good guidance to design the underwater MI communication system.     

Genetic optimization of 5G-NR LDPC codes for lowering the error floor of BICM systems

With the wide range of commercial uses of fifth generation (5G), new radio (NR) communication networks, the wireless transmission becomes more efficient, reliable and faster. At the same time, high-quality signal transmission for 5G networks and beyond has also encountered new opportunities and challenges. Channel coding is a key technology to ensure reliable information transmission and service quality. However, the 5G-NR LDPC coded bit-interleaved coded modulation (BICM) sometimes suffers from relatively high error floors, so it can not always guarantee the high-quality and low-delay wireless transmission. In this paper, we propose a further redesign of the 5G-NR LDPC coded BICM based on genetic algorithm (GenAlg). By adjusting the number of the non-zero elements, the corresponding positions and shifting values in base matrix, we optimize the 5G-NR LDPC codes with GenAlg according to the error performances of coded BICM schemes. Simulation results show that the optimized 5G-NR LDPC codes which still support length and rate compatible coding have lower error floors with a little performance loss int the waterfall region compared to the standard 5G-NR LDPC codes with different modulation orders.     

用于多维数据协调的双边类型LDPC码

在连续变量量子密钥分发(CV-QKD)多维数据协调中,协调效率和密钥传输距离取决于低密度奇偶校验(LDPC)码的纠错性能。在本研究中构造了一种拥有重复累积(RA)码中累积结构的高码率双边类型LDPC码(TET-LDPC),这种双边类型LDPC码在多维数据协调中相比于普通LDPC码可以得到更好的协调性能。经仿真结果可知,在信噪比为1.68 dB时,本文构造的码长为2×10~5的TET-LDPC的协调效率仍然可以达到98.48%,并得到了17.35 kb/s的安全密钥率。