Research of novel complex optical network routing architecture

This article puts forward a novel routing architecture for complex optical network,which core component is path calculation element(PCE).As is well known,the PCE-based distributed path computation structure is making the routing control and computation loosely coupled from traditional control plane.In the study,the resource allocation and routing algorithm are the critical part of PCE hierarchy.To compare the performance of new architecture and the traditional one,the user uses the flooding suppression,routing delay,resource utilization and traffic blocking probability as performance simulation parameters and taking the verification simulation on objective modular network testbed(OMNeT)platform against to source-node routing architecture.The numerical analysis,computer simulation and experiment work indicate that the operation of PCE-based routing architecture can reduce the flooding information of path calculation request as well as the routing hops significantly and improve the quality of service(QoS)by decreasing the blocking probability when failure happened.     

Spectral efficient half-duplex relaying with interference suppression

Two-hop relaying systems suffer spectral efficiency loss due to the half-duplex property of relays. This paper proposes an efficient relaying protocol which can recover the spectral efficiency loss but still work with half-duplex relays. However, there exists inter-relay interference which degrades the performance of the protocol. With this consideration, a power control policy is derived to suppress the interference using game theory, and then an algorithm is given to facilitate distributed implementation. Furthermore, impact of deploying more destination antennas on performance of the relaying protocol is investigated. Simulation results show that, with the power control policy, the proposed relaying protocol can achieve high spectral efficiency.     

中频解调电路中的I^2C总线接口电路

为了简化中频解调电路的外围接口电路,缩小芯片面积,提高芯片的通用性和可靠性,在I^2C总线数据传输协议的基础上,设计一个兼容I^2C协议的中频解调接口电路。为了防止芯片地址冲突,增加了4位地址选择位,并重点对接口电路的状态机与控制逻辑进行优化设置。仿真结果表明,该电路功能正确,可靠性高,可广泛用于TV,VTR,PC,STB等方面。     

抗几何攻击图像水印方案

几何形变一直是各类数字水印算法较难抵抗的攻击手段。针对此问题,提出一种抗几何攻击数字图像水印算法。采用周期性的水印嵌入图像,强度由NVF函数确定。在检测时,用白化滤波器对图像进行预处理。由于水印数据是随机的,而图像数据高度相关,白化滤波器起到增加水印数据能量,同时降低图像数据能量的作用。由理论计算得出选择滤波器的原则。然后,通过自相关检测,得到反映几何形变的峰值点。对实验结果的分析证明,该算法对各类几何攻击都能够精确定位。     

一种低驻波微带均衡器的研究

提出了一种低驻波的微带均衡器结构,并对该结构进行了理论分析、设计、制作和测试.该结构通过在微带线相隔四分之一波长处放置了2个加载了电阻的微带支节构造而成.测试结果显示,设计衰减量为3 dB,工作频带为3.2 GHz～3.4 GHz的微带均衡器的最小衰减量小于0.4 dB,最大衰减量为2.9 dB,驻波在整个工作频带内低于1.18,测试结果与设计值符合较好.     

自适应和差波束形成与单脉冲测角研究

和差单脉冲测角是雷达中常用的测角技术,但是当存在外界强副瓣干扰时需要采用自适应和、差波束形成抑制干扰,然后进行和差单脉冲测角.文中首先讨论了自适应和差波束的增益和抗干扰性能,指出自适应和差波束通过在方向图干扰方向置零来抑制干扰,和波束在波束指向上取得相干积累增益,而差波束在波束指向上的响应为零.然后对自适应和差波束的波束比进行分析,发现理想情况下自适应和差波束的波束比与静态和差波束的波束比近似相同,仿真实例验证了这一点.     

光电系统半实物仿真系统技术概述

光电系统半实物仿真是光电系统研制最经济有效的手段之一。详细介绍了红外半实物仿真试验环境的组成、功能及原理,论述了高动态半实物仿真系统的关键技术及系统设计过程中应注意的事项,最后指出内外场相结合的协同仿真模式将成为面向先进光电系统的半实物仿真的主要发展趋势。     

逆合成孔径雷达系统建模与仿真

逆合成孔径雷达(ISAR)可以获得运动目标的高分辨图像,具有广阔的应用前景,然而ISAR研究面临着缺乏实验平台和数据支撑的困难。首先,介绍了ISAR成像原理;然后,按照ISAR成像流程,将仿真系统划分为引导信息、回波信号、信号处理、二维成像、宽带识别等模块,建立了各个模块所包含的数学模型与仿真模型;最后,设计了ISAR数学仿真系统的系统功能和模块交互结构,给出了系统实现。应用表明,该系统具有灵活的内部结构和较为通用的交互接口,有利于不同算法的内嵌,可以为ISAR技术研究提供仿真平台和仿真数据支撑。     

混合频率激光对CCD探测器损伤机理

为了进行对CCD探测器的损伤机理的探索研究,提出了采用双光束合成器件产生混合频率激光的原理与方法．利用Zemax软件模拟了双光束合成器件,同时对远场光斑进行了采集．基于热传导和热弹性力学的基本关系式建立了混合频率激光辐CCD探测器遮光铝膜层的热力耦合数学物理模型,对热传导方程和应力平衡方程进行了半解析求解,计算得到混合频率激光辐照CCD探测器的遮光铝膜层的瞬态温度场和环向热应力场,并通过数值仿真比较了不同工作模式激光光源对CCD的损伤效果．     

基于遗传算法和LSSVM的网络安全事件发生频率预测

Since the frequency of network security incidents is nonlinear, traditional prediction methods such as ARMA, Gray systems are difficult to deal with the problem. When the size of sample is small, methods based on artificial neural network may not reach a high degree of preciseness. Least Squares Support Vector Machines (LSSVM) is a kind of machine learning methods based on the statistics learning theory, it can be applied to solve small sample and non-linear problems very well. This paper applied LSSVM to predict the occur frequency of network security incidents. To improve the accuracy, it used an improved genetic algorithm to optimize the parameters of LSSVM. Verified by real data sets, the improved genetic algorithm (IGA) converges faster than the simple genetic algorithm (SGA), and has a higher efficiency in the optimization procedure. Specially, the optimized LSSVM model worked very well on the prediction of frequency of network security incidents.