伪装水声通信信号波形设计及其应用

提出伪装水声通信信号波形设计方法,将伪随机信号作为扩频数字水印与原始海豚whistles信号的复对数谱叠加,实现数字水印的嵌入;分别采用PEAQ算法与相关系数计算听觉与波形相似度,作为两种伪装效果的评价方法。提出匹配滤波与正交匹配追踪结合的自同步算法,使通信信号帧结构的设计保持原始whistles叫声的模式,提高了伪装效果。计算机仿真与海上试验验证了伪装通信方法的有效性:设计的通信信号与原始whistles信号相比,PEAQ打分结果均大于-0.5,相关系数值均大于0.98,达到了伪装的效果;试验中通信距离为5 km,单阵元接收的误码率小于10-3,32元阵接收的误码率为0且通过垂直阵虚拟时间反转均衡技术提高了通信系统的稳健性。      

基于正交频分复用的连续变量量子密钥分发方案

正交频分复用技术已被广泛应用于量子密钥分发系统研究中,在此提出了基于正交频分复用的连续变量量子密钥分发方案,连续变量量子密钥分发过程中发送方以快速傅立叶反变换调制复用子载波,接收方以快速傅立叶变换得到原始频域子载波,并由系统协方差矩阵性能刻画出传输性能。仿真结果显示:正交频分复用技术能够提高连续变量量子密钥分发系统的传输密钥率。     

基于改进蝙蝠算法的CO-OFDM系统峰均比抑制技术（英文）

为了抑制相干光正交频分复用系统中的峰值平均功率比,采用蝙蝠算法优化系统子载波的相位.同时针对蝙蝠算法存在的易陷入局部最优和收敛精度不高的问题,对蝙蝠算法进行改进.在蝙蝠的速度更新公式中加入蝙蝠的自我学习部分,并引入惯性权值和学习因子,在保证算法收敛速度的同时尽可能提高算法的收敛精度,防止算法出现早熟收敛情况.采用改进算法对正交幅度调制、100Gb/s的相干光正交频分复用系统进行仿真实验,仿真结果表明,改进算法有较强的搜索能力和较高的搜索精度,使正交频分复用信号的峰值平均功率比降低了5.48dB,相对于蝙蝠算法降低了0.52dB,改进算法的峰值平均功率比抑制性能得到了进一步的提高.     

基于改进蝙蝠算法的CO-OFDM系统峰均比抑制技术

为了抑制相干光正交频分复用系统中的峰值平均功率比,采用蝙蝠算法优化系统子载波的相位.同时针对蝙蝠算法存在的易陷入局部最优和收敛精度不高的问题,对蝙蝠算法进行改进.在蝙蝠的速度更新公式中加入蝙蝠的自我学习部分,并引入惯性权值和学习因子,在保证算法收敛速度的同时尽可能提高算法的收敛精度,防止算法出现早熟收敛情况.采用改进算法对正交幅度调制、100 Gb/s的相干光正交频分复用系统进行仿真实验,仿真结果表明,改进算法有较强的搜索能力和较高的搜索精度,使正交频分复用信号的峰值平均功率比降低了5.48 dB,相对于蝙蝠算法降低了0.52 dB,改进算法的峰值平均功率比抑制性能得到了进一步的提高.     

基于群智能算法的光OFDM系统PAPR抑制

针对相干光正交频分复用(OFDM)系统中峰值平均功率比(PAPR)高的问题,对粒子群算法(PSO)、蝙蝠算法(BA)和鸟群算法(BSA)等几种群智能算法进行了研究,采用群智能算法优化OFDM符号的子载波相位,达到降低PAPR的目的。同时,通过动态调整认知系数和学习因子,分别对蝙蝠算法和鸟群算法进行了改进。对100Gb/s、二进制正交振幅调制(4QAM)的相干光OFDM系统的仿真实验表明,PSO、BA、BSA三种智能算法都能有效降低系统的PAPR,且改进BSA和改进BA与原始信号相比可使PAPR分别降低约5.11dB、5.48dB,具有更好的抑制效果;采用群智能算法优化后,系统误码率性能也得到提高,且随着光信噪比的增大,性能提高更加明显。     

一种光正交频分复用系统的联合相位均衡方法

正交频分复用（OFDM）技术加相干接收与数字信号处理法(DSP)的组合是超长距离光通信的理想模型。光OFDM系统对相位噪声十分敏感,必须对相位噪声进行补偿。提出一种基于正交小波基变换的光OFDM系统的联合相位均衡方案。该方案将块状导频周期性地插入OFDM信号,在接收端利用导频信息首先消除各个子载波的公共相位误差,然后采用自适应均衡方式消除每个子载波自身相位误差。仿真结果表明,对于二进制正交振幅键控(4QAM)调制信号,在采用常规的G.652光纤、100 Gb/s的相干光OFDM系统中,该联合相位补偿方法可使信号在满足传输系统的误码性能要求下,传输距离达到1000 km。     

基于RS码及网格编码调制技术的60 GHz OFDM-RoF系统

分析了60 GHz正交频分复用技术光纤无线通信系统中的子载波互拍及频率选择性衰落.提出利用里德-所罗门码级联网格编码调制技术结合符号交织来降低两者对系统性能的不良影响.采用符号交织来分散正交频分复用中子载波上的误码,然后通过高码率的里德-所罗门码级联实用的网格编码调制技术来纠正比特错误.仿真结果表明:经过符号交织后,误码在子载波上的分布变得较均匀,有利于纠错|2.5 Gb/s正交频分复用信号采用RS-PTCM-64QAM方案比采用未编码的16QAM调制提高了5 dB左右的接收机灵敏度.     

光无线通信中基于哈特莱变换的翻转OFDM技术

提出了一种新的基于快速哈特莱变换(FHT)的翻转光正交频分复用(OFDM)方案(Flip-FHT).快速哈特莱变换为实三角变换,当用其处理傅里叶变换时,输入信号不需要厄米对称性.同时,与传统的基于快速傅里叶变换(FFT)的非对称限幅光OFDM(ACO-OFDM)中只有奇数子载波携带信息符号不同,该方案由于翻转了实双极信号的负数部分,使得偶数子载波也可以携带信息符号,故该方案适用于强度调制/直接检测(IM/DD)光无线通信(OWC)系统.与ACO-OFDM相比,Flip-FHT的频谱效率提高了1倍,计算复杂度在接收端降低了50％.仿真结果表明,与采用4QAM和16QAM(正交幅度调制)的ACO-OFDM相比,采用BPSK(二进制相移键控)和4PAM(脉冲幅度调制)的Flip-FHT可以在系统结构更简单、星座尺寸更小的情况下获得相同的性能.     

大气激光通信非对称限幅光正交频分复用技术

将一种新的正交频分复用调制技术运用到大气激光通信系统中,分析了采用这种非对称限幅光正交频分复用调制技术的大气激光通信系统在大气湍流信道下的性能.在此基础上,把非对称限幅光正交频分复用调制方案与传统的开关键控及直流偏置光正交频分复用调制方案进行了比较,并在大气湍流信道中进行了仿真.仿真结果表明:非对称限幅光正交频分复用调...     

基于多径分集的啁啾扩频正交频分复用水声通信系统

针对传统正交频分复用系统在具有复杂多途和深度频率选择性衰落特点的水声信道中性能下降的问题,提出了啁啾扩频正交频分复用水声通信方案.该方案对原信息码扩频,子载波变为相同调频斜率、不同中心频率、频带相互重叠的正交啁啾信号.经过水声相干多途信道后在接收端解扩,使多个途径信号在频域上拓展,多径信号彼此分离.结合虚拟时间反转镜技术,聚焦多途信道能量,完成信道多径分集接收,不仅可以抑制频率选择性衰落的影响,还充分利用信道多径分集增益提高系统性能.通过仿真研究和湖试验证,表明该方案具有较好的有效性和可靠性.     

Enhanced performance for 10 Gb/s long reach RSOA based WDM-PON by using power pre-emphasized OFDM signal

An extended reach 10 Gb/s wavelength division multiplexing passive optical networks (WDM-PONs) system based on reflective semiconductor optical amplifier (RSOA) is proposed by using power pre-emphasized orthogonal frequency division multiplexing (OFDM) signal. Experimental results show that the proposed technique can effectively enhance the system performance against the limited bandwidth and chirp induced fading effect from direct modulation of RSOA. The receiver sensitivity is improved by 5 dB at the limit of BER for forward error correction (FEC) code over the 60 km and 85 km fiber transmission without any dispersion compensation module.     

Optical orthogonal frequency division multiplexing demultiplexer using slab star coupler-based optical discrete Fourier transform circuit

We demonstrate an optical orthogonal frequency division multiplexing (OFDM) demultiplexer with an optical discrete Fourier transform circuit fabricated using silica planar lightwave circuit technology. This compact device can process an arbitrary number of subcarriers. The operation of a ten-channel device is demonstrated by demultiplexing a 100 Gbit/s (10 subcarrier × 10 Gbits/s) OFDM signal. We also discuss a main factor affecting characteristics degradation of the device.     

基于循环前缀相关性的水声OFDM信号调制识别方法*

本文研究水声OFDM通信信号与常见单载波水声数字通信信号(MPSK,MFSK)之间的调制识别问题。考虑到水声信道复杂传播特性对循环前缀相关性的影响,本文通过截取信号前后片段并迭代搜索双相关峰进行无需先验知识的水声OFDM通信信号特征参数提取,在此基础上设计了一种基于模糊系统的水声OFDM通信信号识别器。对不同信道条件下海上实录信号数据的识别实验结果表明了本文方法的有效性。     

Fiber nonlinearity mitigation by PAPR reduction in coherent optical OFDM systems via biased clipping OFDM

A new method incorporating biased clipping orthogonal frequency division multiplexing (OFDM) is presented, which mitigates fiber nonlinear effects in a long-haul coherent optical OFDM (CO-OFDM) system. Under the scheme of the method, the wanted signal carried by odd subcarriers is orthogonal to clipping noise and a Mach-Zehnder modulator (MZM) performs the optimal OFDM signal up-converter from the radio frequency (RF) domain to the optical domain. Analysis and simulation results show that fiber nonlinear effects can be effectively mitigated by reducing the peak-to-average power ratio (PAPR) in biased clipping CO-OFDM system. The nonlinearity threshold (NLT) is improved by 5 dB with a reach of 240 km. With a fiber length up to 800 km, system Q value is improved by approximately 2.3, 1.2, and 0.6 dB at a chromatic dispersion of 6, 12, and 16 ps/(nm·km), respectively. Additionally, system Q reaches the maximum when direct currect (DC) bias is equal to the mean value of the OFDM waveform.     

Deep learning and expert knowledge based underwater acoustic OFDM receiver

In this paper, a deep learning and expert knowledge based receiver is proposed for underwater acoustic (UWA) orthogonal frequency division multiplexing (OFDM). Different from the existing deep learning based UWA OFDM receivers, the proposed receiver combines deep learning with the classical expert knowledge of block-based signal processing in UWA OFDM to improve system performance and interpretability. It performs joint channel estimation and signal detection by designing skip connection (SC) convolutional neural network (CNN) cascaded attention mechanism (AM) enhanced bi-directional long short-term memory (BiLSTM) network, abbreviated as SC-CNN-AM-BiLSTM network (SCABNet). Specifically, the channel estimation subnet is designed with SC-CNN to utilize the thought of image super-resolution to reconstruct the entire channel frequency response of all subcarriers. The signal detection subnet is designed with AM-BiLSTM to extract the correlations of received sequential data for signal detection. Especially with the AM, the signal detection subnet can focus more on effective information of the received distorted signal to train the optimal network weights to improve the accuracy of data recovery. The proposed SCABNet is evaluated by experimental data, and the results have demonstrated that the SCABNet has the lowest BER and robust performance compared to the traditional linear algorithm, deep learning based black-box receiver, and ComNet receiver. And the proposed SCABNet is effective and robust when multiple nonideal factors co-exist.     

Adaptive frequency domain pre-equalization for white-LED nonlinearity in OFDM-based visible light communication systems

In visible light communication, orthogonal frequency division multiplexing(OFDM) is an effective approach to improve the system speed. However, the nonlinearity of the light-emitting diode(LED) suppresses the transmission performance. The low-frequency part of the transmitted signal from LED suffers more from nonlinearity.Therefore, a pre-equalization scheme which suppresses the low frequency part of the OFDM signal and enhances the high frequency part can decrease the impact of LED nonlinearity. The experimental results show that the bit-error rate performance is largely enhanced by the pre-compensation.     

基于正交频分复用无源光网络的动态带宽分配算法研究

介绍了一种应用于未来大容量、多业务接入场景下的称为光正交频分复用无源光网络的下一代接入网技术,并提出了一种基于此结构的称为基于服务质量需求的固定周期流水线轮询动态带宽分配算法.该算法通过应用二级带宽分配机制、带宽预申请机制和最小带宽申请优先原则等方法,有效地保障了在大容量、多业务接入场景下各个业务不同的服务质量需求.为研究其性能,建立了该算法的仿真模型并进行了对比仿真.仿真结果显示该算法以低时延和低抖动有效地支持快速转发业务,同时平衡了确保转发业务和尽力而为业务之间的优先性和相对公平性,并且实现了不同光网络单元间的同优先级业务带宽分配的公平性.与传统的动态带宽分配算法算法相比,基于服务质量需求的固定周期流水线轮询动态带宽分配算法具有执行效率高、算法复杂度低、性能良好等优点,并且能够更好地适应光正交频分复用无源光网络的特性,发挥网络最大的性能.