Tracking multiple targets in MIMO radar via adaptive asymmetric joint diagonalization with deflation

In view of the low performance of adaptive asymmetric joint diagonalization（AAJD）, especially its failure in tracking high maneuvering targets, an adaptive asymmetric joint diagonalization with deflation（AAJDd） algorithm is proposed. The AAJDd algorithm improves performance by estimating the direction of departure（DOD） and direction of arrival（DOA） directly, avoiding the reuse of the previous moment information in the AAJD algorithm.On this basis, the idea of sequential estimation of the principal component is introduced to turn the matrix operation into a constant operation, reducing the amount of computation and speeding up the convergence. Meanwhile, the eigenvalue is obtained, which can be used to estimate the number of targets. Then, the estimation of signal parameters via rotational invariance technique（ESPRIT） algorithm is improved to realize the automatic matching and association of DOD and DOA. The simulation results show that the AAJDd algorithm has higher tracking performance than the AAJD algorithm, especially when the high maneuvering target is tracked. The efficiency of the proposed method is verified.

Online blind source separation based on joint diagonalization

A new algorithm is proposed for joint diagonalization. With a modified objective function, the new algorithm not only excludes trivial and unbalanced solutions successfully, but is also easily optimized. In addition, with the new objective function, the proposed algorithm can work well in online blind source separation （BSS） for the first time, although this family of algorithms is always thought to be valid only in batch-mode BSS by far. Simulations show that it is a very competitive joint diagonalization algorithm.

Estimation of 2-D Angles of Arrival Based on Joint Diagonalization of Two Spatio-Temporal Correlation Matrices

In this paper, we propose a two-dimensional （2-D） angles of arrival （AOAs） estimation method based on a joint diagonalization of two spatio-temporal （ST） correlation matrices. The mathematical manipulations proposed in this paper take the structure of the array that enable estimating 2-D AOAs simultaneously without 2-D searching or pairing. The performance comparison shows that the proposed method is better than ST-DOA matrix method.

Analysis of factors affecting diagonal tension and compression capacity of corner joints in furniture frames fabricated with dovetail key

This study was conducted to analyze the effect of joint type, and numbers and types of dovetail keys on diagonal tension and compression performance of corner joints in a furniture frame. Joint members were cut from white fir lumber. Butted and mitered joints were constructed with one and two dovetail key（s） with butterfly and H shapes. Joints were glued by polyvinyl acetate （PVAc） and cynoacrylate （CA）. Compression capacity of joints was higher than diagonal tension. Mitered joints were stronger than butted ones. Butterfly dovetail keys were superior to H shape keys. Double keys performed better than single key. Experimental joints glued with PVAc were stronger than those glued with CA glue and control specimens. In terms of strength, butterfly dovetailed joints were comparable with doweled joints.

Joint optimization for secure ambient backscatter communication in NOMA-enabled IoT networks

Non-Orthogonal Multiple Access(NOMA)has emerged as a novel air interface technology for massive connectivity in Sixth-Generation(6G)era.The recent integration of NOMA in Backscatter Communication(BC)has triggered significant research interest due to its applications in low-powered Internet of Things(IoT)networks.However,the link security aspect of these networks has not been well investigated.This article provides a new optimization framework for improving the physical layer security of the NOMA ambient BC system.Our system model takes into account the simultaneous operation of NOMA IoT users and the Backscatter Node(BN)in the presence of multiple EavesDroppers(EDs).The EDs in the surrounding area can overhear the communication of Base Station(BS)and BN due to the wireless broadcast transmission.Thus,the chief aim is to enhance link security by optimizing the BN reflection coefficient and BS transmit power.To gauge the performance of the proposed scheme,we also present the suboptimal NOMA and conventional orthogonal multiple access as benchmark schemes.Monte Carlo simulation results demonstrate the superiority of the NOMA BC scheme over the pure NOMA scheme without the BC and conventional orthogonal multiple access schemes in terms of system secrecy rate.

Gradient Search Non-Orthogonal Approximate Joint Diagonalization Algorithm

The problem of approximate joint diagonalization of a set of matrices is instrumental in numerous statistical signal processing applications. This paper describes a relative gradient non-orthogonal approximate joint diagonalization （AJD） algorithm based on a non-least squares AJD criterion and a special AJD using a non-square diagonalizing matrix and an AJD method for ill-conditioned matrices. Simulation results demonstrate the better performance of the relative gradient AJD algorithm compared with the conventional least squares （LS） criteria based gradient-type AJD algorithms. The algorithm is attractive for practical applications since it is simple and efficient.

基于QR分解的类Jacobi联合对角化算法

为提高实矩阵集的近似联合对角化的盲源分离性能,避免平凡解,提出了一种基于QR分解的类Jacobi联合对角化算法.利用QR分解的数值稳定性,采用Jacobi旋转矩阵,将分离矩阵分解为多个初等三角矩阵和正交矩阵的乘积,利用Jacobi旋转矩阵的结构及矩阵变换后的相关元素求解最优参数,将高维矩阵最小化问题转化为一系列低维矩阵子问题,提升源信号恢复精度.通过求解简化的Frobenius范数目标函数降低算法复杂度.混合心电信号仿真结果表明,与QRJ2D,LUCJD,EGJLUD算法相比,本文算法在分离精度和收敛速度方面均有一定优势.

云上草原斜拉平台设计关键技术

“天空之阶”景观斜拉平台采用独特的单悬臂结构,悬臂长度为80.8 m,桥面为变宽双幅形式,平面呈A字形,中间采用4道横梁相连,悬臂端部设观景平台。主梁采用热轧型钢桁架,索塔为钢结构十字形断面,塔梁采用球铰支座约束。论文从结构体系、复杂风环境、恶劣施工条件、BIM辅助设计等方面详细阐述该景观斜拉平台的设计要点和关键技术。

基于WOA-VMD改进的信号盲源分离研究及应用

准确有效识别出水电站厂房振动信号的各个振源,对于水电站长期安全稳定运行有重要指导意义,盲源分离(blind source separation,BSS)是进行信号分解与振源识别的一种有效方法。为了实现水电站厂房复杂环境下振动信号的盲源分离,建立一种基于鲸鱼算法变分模态分解(whale optimization algorithm and variational mode decomposition,WOA-VMD)降噪改进的信号盲源分离模型。采用WOA-VMD和相关法对观测信号进行降噪处理,确保盲源分离结果的准确性;求解多维降噪信号的协方差矩阵并进行奇异值分解,采用优势特征值法进行源数估计;最后对降噪信号进行中心化、白化前处理,通过联合近似对角化算法得到分离矩阵,实现观测信号的盲源分离。仿真结果表明:相较于传统盲源分离模型,改进模型将分离信号与源信号的相关系数分别提升了9.1%,7.1%,8.3%,分离信号主频误差也均有所降低。将该方法运用到水电站厂房振动工程实例,也取得了较好的分离效果。

盾构隧道凹凸榫-斜螺栓形式环缝径向顺剪抗剪刚度研究

为研究盾构隧道环缝径向顺剪的抗剪性能,针对凹凸榫-斜螺栓形式的环缝,建立环缝径向顺剪抗剪刚度模型;将环缝的径向顺剪过程分解为静摩擦作用、螺栓锚固、螺栓弯曲变形以及凹凸榫咬合4个阶段,分析不同阶段环缝的受力特点及抗剪刚度的主要构成,并通过解析方法得到4个阶段抗剪刚度的显式解答。选取足尺环缝径向剪切试验的试验结果对螺栓作用阶段抗剪刚度理论模型进行验证并分析误差来源,结果表明,由于螺栓的装配方式、环缝剪切试验中结构的受力变形原理等因素,理论模型与试验结果存在差异,但变形阶段存在一定的相似性,理论模型能够较正确地描述环缝剪切过程中螺栓的力学行为。选取带榫管片环缝剪切试验对分布式凹凸榫在咬合阶段的抗剪刚度进行验证,结果表明,当纵向力较大时(达到2000 kN),凹凸榫抗剪刚度的试验结果与理论模型计算结果接近,说明该模型能够较准确地描述在纵向力较大的情况下环缝剪切过程中凹凸榫的力学行为。

过伸型胫骨平台骨折分型及治疗研究进展

过伸型胫骨平台骨折是膝关节过伸位遭受暴力导致的特殊类型骨折。该类型骨折导致平台前侧压缩、后侧牵张,造成膝关节前后侧均受损。治疗上应重视关节面、下肢力线和后倾角的恢复。必要的软组织修复可减少并发症,改善预后。目前过伸型胫骨平台骨折治疗尚无统一模式,需要根据骨折分型及软组织损伤情况来进一步确定治疗方案。

2-D DOAs estimation in impulsive noise environments using joint diagonalization fractional lower-order spatio-temporal matrices

A novel joint diagonalization fractional lower-order spatio-temporal （ST） moments DOA matrix method is proposed to estimate the 2-D DOAs of uncorrelated narrowband signals in the presence of impulsive noise. The new method retains the advantage of the original ST-DOA matrix method which can estimate 2-D DOAs with neither peak searching nor pair matching. Moreover, it can handle sources with common 1-D angles. Simulation results show that the proposed method yields to better performance to restrain the strong impulsive noise than ST-DOA matrix method, especially for low signal-to-noise ratio case.

带摩擦剪切耗能节点的高层建筑斜交网格结构体系抗震性能研究

结合建筑外立面的特点,树根互联全国总部&三一集团华南总部超高层建筑采用由24根钢管混凝土斜柱构建的外露斜交网格钢框架+混凝土核心筒+内部24根钢吊柱竖向分区段悬挂承重的结构体系。每5层外框斜柱交汇节点处存在3.2m跨度的马鞍形短梁节点,在侧向作用下,剪切变形显著。将摩擦型材料应用到马鞍形节点处形成摩擦剪切耗能节点,对该结构进行抗震性能化分析,表明马鞍形摩擦剪切耗能节点在设防烈度及罕遇地震作用下能起到一定“保险丝”的作用,参与结构耗能机制,提高第二道抗震防线外框结构的延性,保护外框钢管混凝土柱。

Joint diagonalization DOA matrix method

A novel joint diagonalization （DOA） matrix method is proposed to estimate the two-dimensional （2-D） DOAs of uncorrelated narrowband signals. The method constructs three subarrays by exploiting the special structure of the array, thereby obtaining the 2-D DOAs of the array based on joint diagonalization directly with neither peak search nor pair matching. The new method can handle sources with common 1-D angles. Simulation results show the effectiveness of the method.

叠合板与现浇梁连接技术优化研究

为了提高现浇梁和叠合板的连接性能与施工质量,得出性能较好的现浇梁-叠合板连接方式,优化构件的承载能力,开展了4种连接类型现浇梁-叠合板构件的加载试验,对比了各试件的延性、承载能力、刚度退化,研究结果表明:试件连接方式为斜插筋时的变形延性、承载能力、刚度退化性能均超过出筋连接;对于不同连接方式的试样,正向承载力最大的为叠合面搭接;与斜插筋和出筋连接方式相比,试件连接方式为凹槽钢筋连接时的延性、承载能力较好,反向刚度比退化速度较慢,滞回性能较好。

市政道路斜交上跨既有地铁隧道影响研究

文章以东莞市某市政道路工程斜交上跨地铁1号线隧道为依托,采用Midas Gts Nx软件建立了“隧道-地层-路基”有限元模型,研究了市政道路斜交上跨既有地铁区间的影响规律,并考虑管片接头的影响,讨论了修正模型与接头模型的差异性。研究结果表明:拟建道路施工导致的既有隧道的最大沉降量为1.72mm,小于规范要求的控制值,证明市政道路上跨施工是可行的;道路施工对既有隧道的影响范围大致在距交叉区30m范围内,并且在12m内最为明显;接头模型与修正模型在力学性能上具有明显的差异性,使得修正模型计算得到的沉降值和内力变化值均小于接头模型。

Joint User and Antenna Selection for Multiuser MIMO Downlink with Block Diagonalization

User selection is necessary for multiuser multiple-input multiple-output(MIMO) downlink systems with block diagonalization(BD) due to the limited free spatial transmit dimensions.The pure user selection algorithms can be improved by performing receive antenna selection(RAS) to increase sum rate.In this paper,a joint user and antenna selection algorithm,which performs user selection for sum rate maximization in the first stage and then performs antenna selection in the second stage,is proposed.The antenna selection process alternately drops one antenna with the poorest channel quality based on maximum determinant ranking(MDR) from the users selected during the first stage and activates one antenna with the maximum norm of projected channel from the remaining users.Simulation results show that the proposed algorithm significantly outperforms the algorithm only performing user selection as well as the algorithm combining user selection with MDR receive antenna selection in terms of sum rate.

Descriptors for DNA Sequences Based on Joint Diagonalization of Their Feature Matrices from Dinucleotide Physicochemical Properties

Numerical characterizations of DNA sequence can facilitate analysis of similar sequences. To visualize and compare different DNA sequences in less space, a novel descriptors extraction approach was proposed for numerical characterizations and similarity analysis of sequences. Initially, a transformation method was introduced to represent each DNA sequence with dinucleotide physicochemical property matrix. Then, based on the approximate joint diagonalization theory, an eigenvalue vector was extracted from each DNA sequence,which could be considered as descriptor of the DNA sequence. Moreover, similarity analyses were performed by calculating the pair-wise distances among the obtained eigenvalue vectors. The results show that the proposed approach can capture more sequence information, and can jointly analyze the information contained in all involved multiple sequences, rather than separately, whose effectiveness was demonstrated intuitively by constructing a dendrogram for the 15 beta-globin gene sequences.

盲源分离在雷达抗主瓣干扰中的应用研究

主瓣干扰位于雷达主瓣内,干扰信号通常很强,会严重影响雷达探测性能。常用的副瓣匿影和副瓣对消措施难以奏效。文中给出了盲源分离抗干扰信号模型,在此基础上提出了基于矩阵联合对角化特征矢量的盲源分离抗主瓣干扰算法,并给出了不同信噪比条件下主瓣干扰抑制的仿真结果。仿真结果表明,在信噪比大于-15 dB的条件下,干扰抑制比能达到10 dB以上。该方法能有效降低主瓣干扰对雷达探测性能的影响,具有良好的应用前景。

由可见光谱视频中提取心率的对角累积量法

由于使用经典的联合近似特征对角化(JADE)算法从视频中估计光电容积脉搏波(Photoplethysmography,PPG)信号,再经快速傅里叶变换转化成的心率值与真实心率值的误差较大,本文提出使用基于对角累积量算法从视频中分离PPG信号,再经过快速傅里叶变换转换成心率的方法来提高心率测量的准确性。进行了从RGB彩色可见光视频信号中恢复心率值的实验。对比实验表明,基于对角累积量分离算法所得心率值与真实心率值差的绝对值的统计特征参数较JADE算法均有所降低,均值、标准差、均方根误差平均分别下降1.46,4.98和4.49。通过Bland-Altman图的分析表明,在95%的置信区间内,对角累积量算法所得心率的浮动范围较JADE算法减小了2倍以上,显示对角累积量算法具有更高的估计精度,对肤色亮度和外界自然光的要求更低,通过调整参数值,可使运行时间控制在1s之内,基本满足实时提取心率的要求。