面源红外诱饵对抗红外制导导弹干扰策略研究

面源红外诱饵使用的过程中,合理有效的干扰策略是干扰红外制导导弹的关键,针对这一问题,通过理论分析与仿真模拟相结合得到面源红外诱饵对抗红外制导导弹的干扰策略。首先以红外成像制导导弹为例,介绍红外制导导弹的仿真模型,然后将攻击过程分为锁定前与锁定后,以命中率为评价指标,得到两个阶段下的最佳干扰策略,包括诱饵的最佳释放时机、释放间隔以及载机应采取的机动动作等。     

RF磁控溅射制备钛酸锶钡BST纳米薄膜

钛酸锶钡(BST)薄膜作为一种高K介质材料在微电子和微机电系统等领域具有广阔的应用前景,人们已对BST薄膜的制备工艺技术和介电性能进行了大量的研究。BST纳米薄膜的制备工艺直接影响和决定着薄膜的介电性能(介电常数、漏电流密度、介电强度等)。对RF磁控反应溅射制备BST纳米薄膜的工艺技术进行了综述。从溅射靶的制备、溅射工艺参数的优化、热处理、薄膜组分的控制,及制备工艺对介电性能的影响等方面,对现有研究成果进行了较全面的总结。     

Numerical Evaluation of a Two-Loop Diagram in the Cutoff Regularization

The sunset diagram of λφ4 theory is evaluated numerically in cutoff scheme and a nonzero finite term(in accordance with dimensional regularization (DR) result) is found in contrast to published calculations. This findingdramatically reduces the critical couplings for symmetry breaking in the two-loop effective potential discussed in ourprevious work.     

一种适合∑-△A／D转换器的FIR数字滤波器

讨论了一种用于∑-△A／D转换器的固定系数半带（half-band）FIR数字滤波器，分析了其线性相位特性和低通滤波特性，给出了频率仿真结果，以及在Cadence设计系统中的电路和版图实现。     

并行组合扩频系统中混沌序列优选的研究

在结合并行组合扩频通信基础上，研究系统中的Logistic—Map混沌扩频序列优选准则。仿真结果表明，Logistic—Map混沌扩频序列可以提供数量众多的适于并行组合扩频通信系统的扩频序列族。     

冲突检测中的主动规则技术

提出主动数据库技术的一个新应用——主动规则应用于虚拟装配中的冲突检测，使虚拟装配具有了主动能力；论述分析了虚拟装配过程中冲突检测的主动功能需求；分析了虚拟装配环境的事件、每件、动作；提出了规则模型；对规则进行了描述。     

AD590在光电测量电路中的应用

温度传感器是用来感测温度的，因此利用温度传感器可以将周围环境中温度的变化转换成电流或电压的变化，从而可以实现电流或电压的调整。现以AD590为例介绍温度传感器在激光器和光检测器中的这种应用。     

无线区域网和认知无线电技术3

802．22 工作组的主要任务是开发和建立一套基于认知无线电(CR)技术, 在现有电视频段利用暂时空闲的频道进行无线通信的区域网空中接口标准。由于基于802．22 协议的无线区域网(WRAN)工作在现有电视频段中 , 要求不能对正在广播的电视频道产生干扰 , 所以WRAN采用了认知无线电技术 , 对电视频段进行感知和测量 , 利用动态频谱管理技术找到空闲频道进行再分配。认知无线电技术将是未来无线通信的发展方向之一。本讲座分3 期对无线区域网和认知无线电技术进行介绍, 第1 讲已经介绍无线区域网络和IEEE 802．22工作组情况 , 包括WRAN背景、802．22 系统、802．22空中接口等；第2讲已经介绍认知无线电技术和实现其的基础软件无线电(SDR)技术 , 包括无线电知识描述语言(RKRL)和认知循环、无线电频谱礼仪等；本讲介绍802．22 WRAN频谱共存问题和认知无线电技术的应用。     

Uplink Scheduling in CDMA Packet-Data Systems

Uplink scheduling in wireless systems is gaining importance due to arising uplink intensive data services (ftp, image uploads etc.), which could be hampered by the currently in-built asymmetry in favor of the downlink. In this work, we propose and study algorithms for efficient uplink packet-data scheduling in a CDMA cell. The algorithms attempt to maximize system throughput under transmit power limitations on the mobiles assuming instantaneous knowledge of user queues and channels. However no channel statistics or traffic characterization is necessary. Apart from increasing throughput, the algorithms also improve fairness of service among users, hence reducing chances of buffer overflows for poorly located users. The major observation arising from our analysis is that it is advantageous on the uplink to schedule “strong” users one-at-a-time, and “weak” users in larger groups. This contrasts with the downlink where one-at-a-time transmission for all users has shown to be the preferred mode in much previous work. Based on the optimal schedules, we propose less complex and more practical approximate methods, both of which offer significant performance improvement compared to one-at-a-time transmission, and the widely acclaimed Proportional Fair (PF) algorithm, in simulations. When queue content cannot be fed back, we propose a simple modification of PF, Uplink PF (UPF), that offers similar improvement. Hereafter, we refer to users with low recieved power at the base even when transmitting at peak transmit power as “weak” users, and the strongly recieved users at the base as “strong” users. Krishnan Kumaran is currently a member of the Complex Systems Modeling section in the Corporate Strategic Research of ExxonMobil Corp., Clinton, NJ. Formerly, he was a Member of Technical Staff in the Mathematics of Networks and Systems Research Department at Bell Labs in Murray Hill, NJ, where his research interests were in modeling, analysis and simulation of design, resource management and scheduling issues in telecommunication networks. Lijun Qian is an assistant professor in the Department of Electrical Engineering at Prairie View A&M University. He received his B.S. from Tsinghua University in Beijing, M.S. from Technion-Israel Institute of Technology, and Ph.D. from WINLAB, Rutgers University, all in electrical engineering. Before joining PVAMU, he was a researcher at Networks and Systems Research Department of Bell Labs in Murray Hill, NJ. His major research interests are in wireless communications and networking technologies, especially in radio resource management, protocol design, TCP/RLP optimization and MPLS traffic engineering.     

基于击键动力学和口令的双因素用户验证

提出基于击键动力学和口令的一种新的身份验证方法，该方法监视用户在输入口令时的用户击键特征的有关数据，通过采用监视键盘输入时一种新的三键持续时间的击键特征表示，用一种表示用户节奏的相对击键速度的距离衡量方式，在正常样本上建立用户模式，然后用新样本与用户模式的距离匹配情况来验证用户身份的合法性。实验表明该方法简单实用，识别效率高。