基于频率调制恒定包络的ACO-OFDM系统PAPR抑制方法

为了抑制因LED的非线性特性所导致的可见光通信系统中正交频分复用信号(OFDM)的峰均功率比出现上升的问题,提出了一个频率调制恒定包络的OFDM技术。对来自源的串行输入比特序列进行并行转换,将其映射到正交调幅星座点;为了在电-光转换之前对OFDM信号进行频率调制,将OFDM信号中的突变幅度应用到LED以产生恒定包络信号;为保持LED处于其线性工作区域中,通过逐步增加功率回退的方式选择最佳偏置点,使LED进入非饱和状态。仿真结果表明,方法的系统总衰减明显降低,与其他类似方法相比,其功率回退系统的误差向量幅度和比特误码率表现更佳,系统整体性能改善明显。     

基于相位/强度调制的伪毫米波超宽带信号的光学辅助探测（英文）

针对伪毫米波超宽带信号脉冲宽度窄且信号强度低而不易探测的特点,本文提出了两种光学辅助包络探测方案.将伪毫米波超宽带信号调制到光载波上,利用光纤布喇格光栅带通滤波器滤出调制器输出的第一边带信号,通过光电探测器和低通滤波器便可以得到用于判决的伪毫米波超宽带信号的包络信息.数学推导和仿真分析了分别采用相位调制器和强度调制器对输出包络信号振幅的影响.研究结果表明:强度调制器需要偏置控制电路来稳定偏置点的位置,当强度调制器工作在最小传输点时,得到的包络信号幅值最大;相位调制器无需偏置控制电路,其输出信号包络的幅值等于使用强度调制器的系统可得到的最大值;使用相位调制器的系统较使用强制调制器的系统具有结构更简单和插入损耗更低的特点.     

基于单个BBO晶体载波包络相位稳定的高效率光参量放大器

基于单个BBO非线性晶体,利用非共线光参量放大技术,研究了载波包络相位稳定的高效率可调谐近红外脉冲产生.以载波包络相位稳定的飞秒激光放大系统产生的白光作为种子光,注入一个二类匹配的二级光参量放大器,在1350 nm波段获得抽运-信号光34%的转换效率.利用f—2f光谱相干测量技术,放大脉冲载波包络相位的抖动30 min内小于137 mrad.该方法提供了一种简单高效的载波包络相位稳定的红外脉冲产生技术.     

利用声信号对滚动轴承进行故障诊断的研究

旋转机械在运行过程中产生的声信号包含了滚动轴承的运行状态信息,且可采用非接触式测量,本文应用它对滚动轴承进行故障诊断。基于morlet小波变换的包络分析对采集的声信号进行降噪及包络处理,然后变换到频域,提取出特征频率并经过转换后作为线性神经网路的输入向量,辨识滚动轴承的状态。实验表明,本方法对滚动轴承故障诊断是有效的。     

任意复包络信号的匀速运动目标回波脉间补偿及相干积累

现代声呐、水下制导等水声探测系统常常使用窄带脉冲、调制、编码、伪随机等种类繁多的发射信号波形来满足低信噪比检测、高分辨估计、抗干扰、主动隐蔽探测的应用需求.针对这一情况,本文研究了任意信号的长时间积累问题,给出了一种任意复包络信号的匀速运动目标回波脉间补偿及相干积累检测方法.通过构建任意发射信号波形的广义模糊函数,将匹配滤波器输出表示为所构造的广义模糊函数,使得任意复包络信号的脉压波形不仅能够用统一的数学模型来表述和计算,而且能够提供多脉冲回波的距离走动信息和多普勒频移信息,为多脉冲距离位置对齐和Fourier变换(FFT)积累提供了依据.对于用广义模糊函数表示的匹配滤波器输出,采用Keystone变换将复包络对齐,消除了距离走动,采用FFT补偿多普勒频移项,实现了任意复包络信号的长时间相干积累.对于水下探测中使用的连续波信号、线性调频信号以及复杂的m序列编码信号、Costas跳频编码信号波形进行了信号积累及检测的计算机仿真,验证了任意复包络信号的匀速运动目标回波脉间补偿及相干积累的正确性.消声水池实验验证了该方法的有效性.     

采用低维特征映射的耳语音向正常音转换

在将耳语音转换为正常音时,为了研究降维后语音特征对耳语音转换的影响,分别对耳语音和正常音谱包络进行自适应编码以提取耳语音和正常音的低维特征,然后使用BP网络建立耳语音和正常音低维谱包络特征之间的映射关系以及正常音基频和耳语音低维谱包络特征之间的关系。转换时,根据耳语音低维谱包络特征获得对应正常音的低维谱包络特征和基频,对低维谱包络特征进行解码后获得对应的正常音谱包络。实验结果表明,采用此方法转换后的语音与正常音之间的倒谱距离相比高斯混合模型方法下降了10%,转换后语音的自然度和可懂度都有所提高。      

利用锁相环和TV-Rb钟控制飞秒激光脉冲的载波包络相移

为了实现对锁模飞秒钛宝石激光器的相位控制，采用改进的相移测量装置，使载波包络频移信号的信噪比提高到了40 dB以上.在此优化测量结果的基础上，利用电子锁相环技术，通过PZT改变激光器腔内端镜的倾斜将飞秒激光脉冲的载波包络相位锁定到了微波参考源TV-Rb钟10 MHz标准信号上，同时激光脉冲重复频率也采用另一个PZT控制激光腔长锁定到了同一个TV-Rb钟10 MHz信号上.锁定后的结果显示重复频率的锁定达到了TV-Rb钟本身的稳定度，而载波包络相位锁定后比锁定前稳定度提高了三个数量级.     

星地激光通信中接收光信号的仿真方法

星地激光通信中, 由于大气湍流等影响, 接收光信号将出现包络起伏现象, 严重时将引起接收系统突发误码。为研究其中突发误码的发生规律及其对通信有效性的影响, 对接收光信号包络起伏的仿真方法进行了研究。针对常规的仿真方法在计算量、资源消耗、仿真时间长度等方面存在的诸多弱点, 提出了一种使用Gauss随机过程的幂级数拟合接收光信号幅度的仿真方法, 该方法利用接收光信号均值、方差、偏态系数和峰度系数计算各阶系数, 最高取到3次方项, 并使用FFT/IFFT实现时间功率谱特征拟合。仿真结果证明了该仿真方法的合理性。     

单腔双光梳拍频信号包络提取方法

对单腔双光梳拍频信号的包络提取方法进行了实验研究。在单个光纤激光器中引入具有强双折射的保偏光纤,使脉冲沿偏振正交的两个方向进行复用传输和锁模。精细调节腔内偏振态,实现了重频差在337 Hz～2.33 kHz范围内连续可调的双光梳生成。通过激光器腔外偏振态调节和偏振分束,获得了消光比分别为28.5 dB和38.2 dB的两路光频梳。两路光频梳经过异步采样后,采用所设计的包络检波电路对拍频信号的包络进行提取,与采用基于样条插值和希尔伯特变换的包络提取算法计算结果相比,所提取的包络峰值位置基本保持一致,验证了该方法的可行性。双光梳拍频信号包络提取实验研究可以快速实时提取包络形状和包络峰值位置,可进一步应用于包络信号触发和精密测距等领域。     

主动声呐恒包络波形设计及其性能分析

为主动声呐设计恒包络的伪随机编码MSK调制波形。通过分析MSK信号表达式,得到波形的复包络信号。使用遗传算法优化伪随机序列,降低波形的自相关旁瓣,可减小声呐的虚警概率。通过优化复包络信号的自相关函数旁瓣值和互相关函数值,得到自相关性能和正交性能优良的恒包络波形,可以缓解多部声呐间的同频干扰。通过仿真分析波形的模糊度图,波形具有良好的频率分辨率和距离分辨率,可以取代峰均比过高的编码调相信号,满足主动声呐对运动目标的探测需求。     

一个含崩塌概率的一维沙堆模型

在一维沙堆模型中加入了崩塌概率,并用元胞自动机的方法进行计算机模拟,发现该模型具有自组织临界性,其临界指数α=1.50±0.02,并且还发现只有当崩塌概率处于0.05~0.98时,系统才体现出自组织临界性.另外,根据该模型的结果,解释了一维米粒堆实验中出现的自组织临界现象.     

基于遗传算法的光综合孔径圆周阵优化

从光综合孔径圆周阵列成像的基本原理出发,建立了圆周阵列的优化模型;采用改进的实数编码方法对子孔径阵列位置进行编码,运用遗传算法进行子孔径阵列的优化;以阵列的u-v覆盖点间距最大化及最小冗余度来设计目标函数,实现了8~16个子孔径二维圆周阵的优化排列;分析了二维圆周光综合孔径阵列成像系统的点扩展函数、光学传递函数和衍射成像的基本原理;对优化结果与模拟退火算法的结果进行对比,使用仿真成像程序分析其点扩展函数,并与均匀排布的圆周阵列进行对比。结果表明,采用改进的实数编码的遗传算法可以很好地解决综合孔径阵列优化的问题,相对于模拟退火算法,该方法的计算时间更短,结果更优。     

Welded joints integrity analysis and optimization for fiber laser welding of dissimilar materials

Dissimilar materials welded joints provide many advantages in power, automotive, chemical, and spacecraft industries. The weld bead integrity which is determined by process parameters plays a significant role in the welding quality during the fiber laser welding (FLW) of dissimilar materials. In this paper, an optimization method by taking the integrity of the weld bead and weld area into consideration is proposed for FLW of dissimilar materials, the low carbon steel and stainless steel. The relationships between the weld bead integrity and process parameters are developed by the genetic algorithm optimized back propagation neural network (GA-BPNN). The particle swarm optimization (PSO) algorithm is taken for optimizing the predicted outputs from GA-BPNN for the objective. Through the optimization process, the desired weld bead with good integrity and minimum weld area are obtained and the corresponding microstructure and microhardness are excellent. The mechanical properties of the optimized joints are greatly improved compared with that of the un-optimized welded joints. Moreover, the effects of significant factors are analyzed based on the statistical approach and the laser power (LP) is identified as the most significant factor on the weld bead integrity and weld area. The results indicate that the proposed method is effective for improving the reliability and stability of welded joints in the practical production.     

Evaluation of failure probability via surrogate models

Evaluation of failure probability of a given system requires sampling of the system response and can be computationally expensive. Therefore it is desirable to construct an accurate surrogate model for the system response and subsequently to sample the surrogate model. In this paper we discuss the properties of this approach. We demonstrate that the straightforward sampling of a surrogate model can lead to erroneous results, no matter how accurate the surrogate model is. We then propose a hybrid approach by sampling both the surrogate model in a “large” portion of the probability space and the original system in a “small” portion. The resulting algorithm is significantly more efficient than the traditional sampling method, and is more accurate and robust than the straightforward surrogate model approach. Rigorous convergence proof is established for the hybrid approach, and practical implementation is discussed. Numerical examples are provided to verify the theoretical findings and demonstrate the efficiency gain of the approach.     

光纤孤子包络方程及相关分析

从经典唯象观点出发,提出了相位移动的精确公式,严格推导出光纤孤子包络方程,揭示了原包络函数的唯一性,并合理分析了光纤孤子的形成机制.     

白光扫描干涉测量算法综述

白光扫描干涉测量是光学测量中一种非常重要的方法。在干涉仪的结构、光源的光谱宽度以及扫描步长一定的情况下,选择合适的算法对干涉信号进行处理能够达到更高的测量精度。对重心法、移相法、包络曲线拟合法以及空间频域算法分别加以介绍和比较,为白光干涉信号的算法选取提供了一份详尽的参考。     

3D shape reconstruction of parabolic trough collector from gradient data based on slope stitching approach

A method based on slope stitching for measurement of a large off-axis parabolic trough collector is proposed and applied to the surface shape reconstructed from the gradient data acquired by using the reverse Hartmann test.The entire reflector is divided into three sections with overlapping zones along the concentration direction.A mathematical model for the slope stitching algorithm is developed.An improved reconstruction method combining Zernike slope polynomials iterative fitting with the Southwell integration algorithm is utilized to recover the real three-dimensional(3 D) shape of the collector.The efficiency and validity of the improved reconstruction method and the stitching algorithm are experimentally verified.     

A Bearing Fault Diagnosis Method Based on PAVME and MEDE

When rolling bearings have a local fault, the real bearing vibration signal related to the local fault is characterized by the properties of nonlinear and nonstationary. To extract the useful fault features from the collected nonlinear and nonstationary bearing vibration signals and improve diagnostic accuracy, this paper proposes a new bearing fault diagnosis method based on parameter adaptive variational mode extraction (PAVME) and multiscale envelope dispersion entropy (MEDE). Firstly, a new method hailed as parameter adaptive variational mode extraction (PAVME) is presented to process the collected original bearing vibration signal and obtain the frequency components related to bearing faults, where its two important parameters (i.e., the penalty factor and mode center-frequency) are automatically determined by whale optimization algorithm. Subsequently, based on the processed bearing vibration signal, an effective complexity evaluation approach named multiscale envelope dispersion entropy (MEDE) is calculated for conducting bearing fault feature extraction. Finally, the extracted fault features are fed into the k-nearest neighbor (KNN) to automatically identify different health conditions of rolling bearing. Case studies and contrastive analysis are performed to validate the effectiveness and superiority of the proposed method. Experimental results show that the proposed method can not only effectively extract bearing fault features, but also obtain a high identification accuracy for bearing fault patterns under single or variable speed.     

Envelope Solitons Perturbed by Stochastic Noise

We perform langevin dynamics simulation for envelope solitons in anFPU-β lattice, with the nearest-neighbor interaction and quartic anharmonicity. We get the motion equations of our discrete system by adding noise and damping to the set of deterministic motion equations. We define ``half-time' as the time when the amplitude of the envelope soliton decreases by half due to damping. And then the mass, center and half-time of the perturbed envelope soliton are numerically simulated, beginning with the discrete envelope soliton at rest. Results show successfully how noise affects behavior of the envelope soliton.