SystemView 在通信原理课程实验教学中的应用研究

文章研究了 SystemView 仿真软件在通信原理课程实验教学中的应用，表明 SytemView 仿真平台有利于加强学生的学习动机，培养学生的兴趣，加深了学生对调制、解调电路的理解，拓展了实验范围，提高了教学效率。     

基于联合子带ANM的小快拍宽带DOA估计方法

针对被动探测系统中,经典宽带信号波达方位(direction-of-arrival, DOA)估计方法在小快拍条件下无法直接有效地进行方位估计的问题,提出了一种基于联合子带最小原子范数(atomic norm minimization, ANM)的小快拍宽带信号方位估计方法。该方法首先将宽带信号划分的各子带聚焦到参考频点,再联合聚焦后的子带进行数据矩阵重构,最后通过ANM半正定规划优化,构造并恢复出一个最优的Toeplitz矩阵。该Toeplitz矩阵经过特征分解,能获得准确的信号子空间,从而实现有效的DOA估计。仿真结果表明,本文所提的方位估计方法在小快拍条件下具有良好的DOA估计性能,且能够估计相干源目标。     

时间反演联合接收端人工噪声的安全传输方案

针对时间反演(time reversal, TR)技术无法较好地解决聚焦区内非法用户窃听的问题,提出了一种TR技术联合接收端人工噪声的物理层安全传输方案。首先,利用时间反演技术的空时聚焦性提高合法用户接收端的信噪比(signal to noise ratio, SNR)。其次,通过在接收端加入人工噪声来干扰非法用户对合法用户保密信息的窃听,以聚焦区内外系统安全性能为基础,推导出保密信干噪比(signal to interference plus noise ratio, SINR)、可达保密速率和误码率(bit error rate, BER)的解析表达式。最后，通过仿真分析证明了所提方案能提高系统的SINR和可达保密速率,同时还能降低合法用户的BER，使系统拥有更好的安全性能。     

结合上下文特征和图割算法的车载点云聚类方法

可靠、准确的点云聚类是后续高精度场景目标分析与解译的基础.该文提出了一种基于上下文特征和图割算法的车载点云聚类方法.首先用DBSCAN （density-based spatial clustering of applications with noise）对点云数据进行过分割，得到密度可达的超体素；然后引入空间和属性上下文特征来描述超体素间的关联，并用于定义超体素构建的图模型边的权值；最后基于多标记的图割优化算法得到最佳超体素聚簇.实验结果表明，该方法能够有效改善点云聚类过分割，从而提高聚类的精度.     

Mechanical behavior of a near α titanium alloy under dynamic compression: Characterization and modeling

Dynamic compression tests under strain rates from 870 s^?1 to 2100 s^?1 were conducted for a near α Ti–8Al–1Mo–1V titanium alloy with equiaxed microstructure. Compression behavior, adiabatic shearing and band microstructure were investigated via characterization and calculation. The results demonstrate that all dynamic constitutive curves exhibited obvious stress fluctuation phenomenon with double increase-decrease changing stages at the primary stage of compression. The dislocation multiplication theory can be used to explain this phenomenon. After the stress fluctuation period, work hardening coexisted with the thermal softening, resulting in the slow hardening tendency in constitutive curves. J-C model was utilized to quantify the dynamic constitutive curves. The deviations between the predicted and experimental curves under high strain rates may be attributed to the over-consideration of thermal softening effect in J-C model. Adiabatic shearing band (ASB) began to form under the strain rate of 2100 s^?1. A total shearing strain of 8.1 within ASB achieved in 8.9 μs, corresponding to a local strain rate of about 9.1 × 10⁵ s^?1 and is over 430 times of the macro strain rate. Post annealing was conducted on ASB before EBSD characterization. Due to the static recrystallization during annealing, the α phase within ASB generally presented as ultra-fine grains less than 1 μm in diameter.     

模糊大脑情感学习的自适应噪声抵消方法

提出一种以模糊大脑情感学习(fuzzy brain emotional learning, FBEL)模型作为自适应噪声抵消器的噪声抵消方法，应用于信号处理问题。该方法通过FBEL模拟经非线性通道传输后的噪声信号，将噪声信号从含噪信号中过滤掉，达到消噪的目的；根据自适应学习算法，利用奖励信号和梯度下降法对FBEL模型的权重及参数进行在线更新，以适应噪声的变化。选取均方根误差和计算时间2个性能指标，采用自适应噪声抵消方法在不同网络中进行仿真比较，结果表明，应用该方法可以获得更好的滤波性能。     

一种新数值工具在车辆气动声学开发中的应用

为了优化车辆开发过程的有效性，数值气动声学分析法的实施和应用对汽车制造商来说变得越来越重要。提出了一种结合延迟分离涡流模拟和基于Lighthill方程及声学扰动方程的有限元模型混合数值工具，应用OpenFOAM和Actran软件实现了基于声学有限元法的近场声源区提取及声学压力脉动计算，并尝试应用于车顶扰流板及后视镜区域的气动噪声计算及分析。在兰博基尼Urus车型上，研究了不同车顶扰流板设计的气动声学行为，将仿真结果与斯图加特大学气动声学全尺寸风洞的实验结果进行比较，发现了令人信服的相关性。此外，探讨了扰流板上的主要噪声产生机制，研究了汽车表面压力波动水平随几何形状改变的变化情况。     

机载相控阵雷达灵巧干扰信号模型及抑制方法研究0

目前对灵巧干扰的研究主要集中在常规地面雷达,对于机载雷达下的干扰模型及其抑制方法的研究较少。针对此种情况,建立了机载雷达背景下噪声卷积干扰、随机移频干扰和延时转发干扰3种典型灵巧干扰的空时信号模型,并从杂波自由度、空时功率谱图和距离-多普勒谱图的角度分析了干扰分布特性以及影响空时自适应处理(space-time adaptive processing, STAP)性能的内在机理,在此基础上提出了一种基于单元平均选小检测的机载雷达杂波和干扰同时抑制方法。该方法从杂波空时功率谱角度准确估计干扰来向,并据此形成干扰辅助波束,最后通过STAP实现干扰和杂波的有效抑制。仿真结果表明,所提方法相对于传统级联抑制方法,对延时转发灵巧干扰的抑制性能改善5 dB以上,验证了所提方法的有效性。     

Structural,morphological, and optical properties of tin(Ⅳ) oxide nanoparticles synthesized using Camellia sinensis extract: a green approach

Tin oxide (SnO2) nanoparticles were cost-effectively synthesized using nontoxic chemicals and green tea (Camellia sinensis) extract via a green synthesis method.The structural properties of the obtained nanoparticles were studied using X-ray diffraction,which indicated that the crystallite size was less than 20 nm.The particle size and morphology of the nanoparticles were analyzed using scanning electron microscopy and transmission electron microscopy.The morphological analysis revealed agglomerated spherical nanoparticles with sizes varying from 5 to 30 nm.The optical properties of the nanoparticles' band gap were characterized using diffuse reflectance spectroscopy.The band gap was found to decrease with increasing annealing temperature.The O vacancy defects were analyzed using photoluminescence spectroscopy.The increase in the crystallite size,decreasing band gap,and the increasing intensities of the UV and visible emission peaks indicated that the green-synthesized SnO2 may play future important roles in catalysis and optoelectronic devices.     

Description of rotational properties of the superheavy nucleus ^256,258,260Rf by projected shell model

Band structure of the Z = 104 nucleus 256Rf has been a recent research focus in nuclear physics. We performed projected shell model calculations for this and some other neighboring Rf isotopes. Specifically, we studied rotational properties of these nuclei and showed that variations in dynamic moment of inertia were sensitive to single-particle structures, which may be useful information for locating the anticipated island of stability. Electromagnetic transition properties were also calculated, and measurable quantities were predicted for further experimental test.