利用编码技术减少OLED驱动芯片同步开关噪声

时钟频率的增加,使得芯片设计中的电感效应已经不能忽视。通过分析传输总线上的同步开关噪声(SSN)产生的机理,提出对总线输入/输出信号编解码,达到减少线间电感SSN的目的。并且将此方法用于解决一款OLED驱动芯片存在的SSN问题。     

2.42 GHz宽带低相噪LC压控振荡器的设计

采用一种基于开关电容阵列(SCA)和电压、电流滤波相结合的电路结构,设计了一个宽调谐范围低相位噪声的互补交叉耦合型LC压控振荡器。利用ADS仿真软件对电路进行仿真,达到了宽调谐、低相位噪声、低功耗的要求。     

高阶∑△ADC中积分器的设计

基于N阱0.6μm DPDM CMOS工艺,完成了高阶∑△ADC中第一级积分器的设计。分析了开关电容积分器的非理想特性,同时设计了一个对寄生电容不敏感的同相开关电容(SC)积分器,并特别采用旁路电容减小沟道电荷注入引起的谐波失真和噪声。在cadence下的电路仿真表明,积分器具有-104.9dB等效输入噪声;利用MATLAB进行系统仿真,∑△ADC的信号噪声畸变比(SNDR)达到100.5dB,满足系统16bit的要求。     

一种新型的12位SAR ADC设计

设计了一种12位精度,200 kS/s采样率的逐次逼近型模数转换器(SAR ADC)。针对传统的电容开关切换算法的大电容面积和高功耗,采用一种新型的电容开关切换算法,提高了转换精度,降低了功耗。此外,比较器电路采用一种全差分动态比较器和静态预放大比较器分时工作的方法,进一步降低了功耗。基于TSMC 0.18μm CMOS工艺,对电路进行了设计和仿真。仿真结果表明,在采样率为200 kS/s时,信号噪声失真比(SNDR)为70.94 dB,有效位数(ENOB)为11.49位,功耗为22μW,优值系数(FOM)为38.2 fJ/(Conversion·step)。     

高精度SC PIPELINED ADC预放大锁存比较器的分析与设计

提出了一种应用于开关电容流水线模数转换器的CMOS预放大锁存比较器。比较器采用了交叉耦合负载、PMOS/NMOS比例优化和电容中和技术。该结构大幅提高了比较器的速度并有效抑制了回馈噪声,减小了失调电压,可以作为Flash ADC应用于高精度开关电容流水线ADC。     

卫星高速基带传输的抗同步开关噪声设计

对高速基带传输中产生同步开关噪声的原因进行了深入分析。通过理论分析和试验数据,提出了抗同步开关噪声的方法。对于今后在高速基带设计中避免同步开关噪声有一定的指导意义。     

基于DSP的多通道同步DAS及其应用

鉴于DSP在结构和技术性能上的特点,本文提出了一种基于DSP的多通道同步数据采集系统的设计方法。该系统采用锁相环(PLL)实时频率跟踪实现数据的同步采样,采用专门的A/D芯片实现多通道的同步,采用专门的开关电容滤波器提高采样系统的性能。通过初步的试验,验证了系统的性能,为进一步的研究奠定了基础。     

基于MATLAB输出缓冲器的同步开关噪声模型

随着集成电路的发展,由于封装寄生电感的存在,同步开关噪声的影响越来越严重。提出了一种COMS输出缓冲器同步开关噪声模型并且考虑和分析了封装间互感对同步开关噪声的影响。使用Matlab计算得到的峰值同步开关噪声与HSPICE仿真结果相比,电压误差在8%之内,验证了该模型的正确性。另一方面,通过对互感的分析,得出了同步开关噪声随着互感的增加而减少,为抑制同步开关噪声提供新思路。     

基于移动群智感知的多旋翼无人机噪声控制技术

由于多旋翼无人机产生噪声的位置点较多,难以感知具体的噪声位置,导致噪声控制效果不理想,因此提出基于移动群智感知的多旋翼无人机噪声控制技术;分析多旋翼无人机噪声信号在无人机蒙皮结构、加筋板结构、典型壁板结构内的布局形式,获取无人机板状结构的振动特性,求解同步开关阻尼、短路开关阻尼、电感开关阻尼、外加电压源开关阻尼的数值表达式;根据开关阻尼计算结果和移动群智感知原则,对多旋翼无人机的噪声位置进行精准定位;按照感知任务分配表达式,计算调度性能指标的具体数值,完成基于移动群智感知的多旋翼无人机噪声控制任务调度;实验结果表明,在移动群智感知算法作用下,无人机噪声信号在各个方向上的波动幅值均得到较好控制,与模糊逻辑控制方法相比,能够较好维持多旋翼无人机的稳定运动能力。     

一种改进的流水线ADC开关电容电路

为降低流水线模数转换器(ADC)中跨导运算放大器(OTA)设计要求,在分析已有开关电容电路(SC)误差消除技术和流水线ADC误差源的基础上,提出一种改进的流水线ADC开关电容电路及与其匹配的OTA设计方案.采用交又差分结构,对虚地电容进行了修正,并将电容失配参数在系统传输函数中消去,使开关电容电路对OTA的增益误差要求降低,并使其瞬态功耗下降.采用CMOS 0.18üm工艺设计了一个分辨率为8位、取样速率200 MHz的ADC作为验证原型,仿真结果表明,该优化结构符合ADC电路高速低功耗要求,可作为信号前端处理模块应用到模数转换电路中.     

Hyperspectral image super-resolution with spectral–spatial network

ABSTRACT

The super-resolution problem for hyperspectral images is currently one of the most challenging topics in remote sensing. Increasingly effective methods have been presented to solve this ill-posed problem under certain circumstances. In this article, we propose a new approach named the spectral–spatial network (SSN), which can effectively increase spatial resolution while keeping spectral information. The SSN consists of two sections: a spatial section and a spectral section that contribute to enhancing spatial resolution and preserving spectral information, respectively. The spatial section is proposed to learn end-to-end mapping between single-band images, from low-resolution and high-resolution hyperspectral images. In this section, we enhance the traditional sub-pixel convolutional layer by adding a maximum variance principle that can realize nonlinear fitting through piecewise linearization. The spectral section aims to fine-tune spectral caves to keep the spectral signature with a spectral angle error loss function. In order to make the SSN converge quickly, we also develop a corresponding three-step training method. The experimental results on two databases, with both indoor and outdoor scenes, show that our proposed method performs better than the existing state-of-the-art methods.     

A Collaborative Framework for Mould Design Based on Service-Oriented Architecture

Aiming at improving the traditional object-oriented three-layer architecture for collaborative design, a service-oriented framework for mould design is established by adding a Web service layer to decoupling the direct linking of user interface to functional modules,making the system being platform independent and programming language independent,greatly facilitating the reuse of existing software and hardware resources. .NET technology is adopted to implement the framework. An example scenario is introduce...     

六维腕力传感器非线性正解耦方法设计

多维力传感器利用其多个转换单元完成测量加载于其结构上未知负载的作用效果,解耦是其设计的重要组成部分。针对传统静态线性解耦方法的不足,试图将传统线性解耦方程扩展为多项式结构,受其多元高次方式通解形式的启发,构造了一种多项式非线性静态正解耦方程,该方法无需传统线性解耦方法中的曲线拟合、逆解,不依赖以系统是线性为前提,且方程可以扩展成任意结构的多项式。实验结果表明:该方法能降低输出耦合误差。     

Relationship between the trace and maximum eigenvalue norms forlinear quadratic control design

The use of a sum of squares H₂ norm is considered for optimal control system design. The relative advantages of the linear-quadratic-Gaussian (LQG) (trace norm) and the H_∞ (sup norm) cost functions are discussed. An argument is presented to show that the sum of squares norm (SSN) problem might be considered alongside the LQG and H_∞ cost problems. When exploring the relationship between the LQG and SSN problems, it is found that an LQG controller could be found which correspond to an SSN problem with larger disturbance inputs. This suggests that the LQG controller can be computed with the knowledge that it minimizes a well-defined SSN problem with worst-case uncertainty or disturbances. The range of a certain set of eigenvalues is found to provide a measure of the difference between the LQG and SSN problem designs     

一种预测优化解耦补偿器的研究设计

提出一种通过对象输出预测实现对角优化解耦的补偿器设计方法,给出了该补偿器 的解耦算式.此预测优化解耦补偿器有别于传统的动态或静态解耦补偿方法,适用于具有非 最小相位特性的众多多变量系统的解耦补偿,具有较好的稳定性和可实现性.同时给出了仿 真实验结果.     

多变量多时滞系统的前馈补偿解耦及IMC-PID控制

多变量系统控制器设计中遇到的主要难题是多时滞和强铰链耦合问题;对于非奇异方阵系统,根据解耦理论通过串级前馈时滞补偿器将原系统解耦为多个单变量小时滞系统,运用模型降阶技术,将解耦后的复杂单变量小时滞系统逼近为FOPDT(一阶环节+延时)形式,采用IMC控制策略实现多个单变量系统单位反馈控制,运用了麦克劳林级数展开式,通过相应项系数的比对得到了传统PID控制器;仿真分析表明了该方法能够有效性地补偿系统时滞,同时现实解耦;解决了多变量多时滞系统控制器设计复杂性的难题,有一定的工程参考价值。     

基于标签传播的语义重叠社区发现算法

语义社会网络(Semantic social network, SSN)是一种由信息节点及链接关系构成的新型复杂网络, 为此以节点邻接关系为挖掘对象的传统社会网络社区发现算法无法有效处理语义社会网络重叠社区发现问题. 由此提出标签传播的语义重叠社区发现算法, 该算法以标签传播算法(Latent Dirichlet allocation, LDA)模型为语义信息模型, 利用Gibbs取样法建立节点语义信息到语义空间的量化映射; 提出可度量节点间相似性的主成分 (Semantic coherent neighborhood propinquity, SCNP)模型和语义影响力(Semantic impact, SI)模型; 以SCNP作为标签传播的权重, 以SI 作为截断值的参数, 提出一种改进的Semantic-LPA (Semantic label propagation algorithm)算法; 提出可度量语义社区发现结果的语义模块度模型, 并通过实验分析, 验证了算法及语义模块度模型的有效性及可行性.     

Novel compact planar electromagnetic band‐gap structure using for ultra‐wideband simultaneous switching noise suppression

In this article, by analyzing the equivalent circuit mode for electromagnetic bandgap (EBG), a novel compact planar EBG structure is proposed for overcoming the drawback of narrow bandwidth of conventional EBG structures. The novel design is based on using meander lines to increase the effective inductance of EBG patches. The simulated and measured results demonstrate the simultaneous switching noise (SSN) can be mitigated with an ultra‐wideband from 280 MHz to 20 GHz at the restraining depth of ?40 dB. Compared with the traditional L‐bridge and meander lines EBG structures, this novel structure has the advantages of suppression bandwidth and fabrication cost. Moreover, signal integrity is achieved by the time‐domain simulation. The proposed structure provides a new kind of theoretical designing reference for EBG structure to improve the bandwidth of restraining SSN. © 2013 Wiley Periodicals, Inc. Int J RF and Microwave CAE 24:429–436, 2014.     

基于MSVR的六维腕力传感器静态解耦算法

针对维间耦合会影响六维腕力传感器测量精度的问题,提出了基于多输出支持向量回归机（Multi-output support vector regression,MSVR）的解耦算法。以实验室研制的六维腕力传感器为例进行静态标定实验,使用基于MSVR的解耦算法以及传统的基于最小二乘求解标定矩阵的解耦算法对标定数据进行处理分析。实验结果表明,本文提出的解耦算法稳定可靠,能有效抑制维间耦合的干扰,具有较高的解耦精度。     

The smart surface network: A bus-based approach to dense sensing

We present the Smart Surface Network (SSN), a hardware and software platform designed for dense sensing. Sensor nodes connected to the SSN communicate using a serial bus integrated within a mountable physical surface. The hardware architecture and bus access and communication mechanisms are implemented in a self-stabilizing manner, providing robust handling of unannounced arrivals and departures of network devices. An associated API supports a peer-to-peer communication paradigm, providing access to the physical, data link, and application layers of the bus. In this paper, we describe the SSN hardware architecture and present the bus access and peer discovery algorithms. We also discuss the design of the API and describe experimental results characterizing the fairness of the bus algorithm, the efficiency of the peer discovery algorithm, and the performance of the SSN system under varying load conditions.