快速退火气氛对300mm硅片内洁净区和氧沉淀形成的影响

300mm硅片中厚度合适的洁净区和高密度氧沉淀,有利于对器件有源区金属沾污的吸除,改善栅氧化物的完整性.文中使用Ar,N2/NHa混合气作为快速退火(RTA)气氛,研究RTA气氛对洁净区、氧沉淀形成的影响.研究发现N2/NHs混合气氛处理的硅片表层洁净区明显薄于Ar气氛处理的硅片,氧沉淀密度明显高于Ar气氛处理后的硅片.同时发现在两种气氛下,延长恒温时间都可以降低洁净区厚度,增加氧沉淀密度.基于空位增强氧沉淀成核和氮化空位注入的基本原理,就RTA气氛和恒温时间对洁净区和氧沉淀分布的影响进行了讨论.     

基于MEMS技术的红外成像焦平面阵列

选用Au和LPCVD的低应力SiNx薄膜材料,采用MEMS技术研制了新型间隔镀金热隔离结构的薄膜镂空式非制冷红外成像焦平面阵列,并应用光学读出的方法成功地在室温(27.47℃)背景下获得了人体的热像.实验证明间隔镀金热隔离结构的引入有效抑制了热传导对变形梁温升的限制,从而大大降低了系统的噪声等效温度差(NETD),NETD达到约200mK.     

一种指数增益控制型高线性CMOS中频可变增益放大器

采用跨导线性化技术设计了一种具有指数增益特性的高线性中频可变增益放大器.该放大器由电流调节型可变增益单元、宽范围指数电压转换电路及固定增益放大器构成.基于0.25μm CMOS工艺的测试结果表明,放大器实现了8～48dB的增益连续变化,差分输出1V峰峰值下的三阶互调失真小于-60dBc,最大增益处噪声系数为8.7dB,50Ω负载下三阶输出截点为14.2dBm.     

不同表面预处理对有机电致发光显示器性能的影响

从生产角度研究了基板表面的预处理工艺对OLED性能的影响,分别用UVOzone、氧Plasma以及两者相结合的方式对基板进行表面处理,并按照生产工艺制作器件,从接触角、方阻以及光电特性等测试结果对各种表面处理的样品进行比较。结果表明以上处理都改善了器件性能,不同程度提高了器件的清洁度、亮度和发光效率,其中UVOzone和氧Plasma结合的方式处理效果最为显著,器件在10V时亮度达到79920cd/m2,比其他两种处理方式亮度提高约25%。     

基于IPv6校园网的智能选课系统的J2EE架构的设计与实现

通过分析IPv6校园网自主学习模式下的自主选课问题,提出了利用J2EE技术构建基于IPv6校园网的智能选课系统的总体结构及具体实现.     

高效率连续波运转的激光二极管端面抽运914 nm Nd:YVO4激光器

利用激光二极管(LD)抽运Nd∶YVO4晶体产生914 nm谱线振荡,再通过腔内倍频技术获得457 nm激光输出,是获得大功率蓝光激光器的一条重要的技术路线,因而实现高效率运转的914 nm激光输出则是方案的关键。报道了激光二极管端面抽运Nd∶YVO4晶体、连续波运转的大功率914 nm准三能级激光器,方案中采用掺杂原子数分数为0.1%的低掺杂Nd∶YVO4晶体,有效地降低了热效应的影响,并通过准三能级理论模型的模拟计算选择了最佳晶体长度;通过对腔镜介质膜参数的适当控制,有效地抑制了波长为1064 nm和1342 nm的高增益谱线。实验中,914 nm激光器的阈值抽运功率仅为8.5 W,在31 W的抽运功率下914 nm激光输出功率高达7.2 W,激光器的斜率效率为32%,光-光转换效率为23.2%。     

Er/Yb共掺光纤放大器前向放大自发辐射模型

提出了Er/Yb共掺的光纤放大器中,Yb离子仍然存在基态能级斯塔克(Stark)分裂的假设,考虑1060 nm波段辐射,利用速率方程和传输方程,结合Er/Yb共掺双包层光纤的吸收和发射系数谱,采用4阶龙格-库塔(Runge- Kutta)算法,建立了模拟Er/Yb共掺双包层光纤放大器放大自发辐射(ASE)光谱的理论模型。通过改变抽运功率和信号功率,对其前向放大自发辐射光谱特性进行了全面的分析。大信号入射时,改变抽运功率,只改变输出功率大小。输出光谱形状不变,而当信号功率足够小时,前向放大自发辐射光谱在1535 nm和1543 nm处会出现2个局部峰值,理论模拟与实验数据相符。     

PDP驱动芯片中高压LDMOS建模

建立了PDP驱动芯片用高压LDMOS的SPICE子电路模型,该模型集成了LDMOS固有特性：准饱和特性、电压控漂移区电阻、自热效应、密勒电容等. 与其他物理模型和子电路模型比较,该模型不但能提供准确的模拟结果,而且建模简单快捷,另外该模型可较容易地嵌入SPICE模拟软件中. 模型的实际应用结果显示：模拟与实测结果误差在5%以内.     

Robust Constrained Model Predictive Control Based on Parameter-Dependent Lyapunov Functions

The problem of robust constrained model predictive control (MPC) of systems with polytopic uncertainties is considered in this paper. New sufficient conditions for the existence of parameter-dependent Lyapunov functions are proposed in terms of linear matrix inequalities (LMIs), which will reduce the conservativeness resulting from using a single Lyapunov function. At each sampling instant, the corresponding parameter-dependent Lyapunov function is an upper bound for a worst-case objective function, which can be minimized using the LMI convex optimization approach. Based on the solution of optimization at each sampling instant, the corresponding state feedback controller is designed, which can guarantee that the resulting closed-loop system is robustly asymptotically stable. In addition, the feedback controller will meet the specifications for systems with input or output constraints, for all admissible time-varying parameter uncertainties. Numerical examples are presented to demonstrate the effectiveness of the proposed techniques.     

UWB Echo Signal Detection With Ultra-Low Rate Sampling Based on Compressed Sensing

A major challenge in ultra-wide-band (UWB) signal processing is the requirement for very high sampling rate. The recently emerging compressed sensing (CS) theory makes processing UWB signal at a low sampling rate possible if the signal has a sparse representation in a certain space. Based on the CS theory, a system for sampling UWB echo signal at a rate much lower than Nyquist rate and performing signal detection is proposed in this paper. First, an approach of constructing basis functions according to matching rules is proposed to achieve sparse signal representation because the sparse representation of signal is the most important precondition for the use of CS theory. Second, based on the matching basis functions and using analog-to-information converter, a UWB signal detection system is designed in the framework of the CS theory. With this system, a UWB signal, such as a linear frequency-modulated signal in radar system, can be sampled at about 10% of Nyquist rate, but still can be reconstructed and detected with overwhelming probability. The simulation results show that the proposed method is effective for sampling and detecting UWB signal directly even without a very high-frequency analog-to-digital converter.