系统状态方程的信流图描述

本文从基本概念出发,结合两个具体电路讨论如何用信流图建立系统标准状态方程的方法。     

基于模糊综合的红外目标融合识别

为了提高在复杂背景和强干扰条件下目标识别的可靠性,提出了一种基于模糊综合的目标融合识别算法,并采用双色红外成像系统所获得的红外图像数据进行了实验仿真。实验结果表明该算法在较大程度上提高了目标识别的可信度。     

战场数据融合仿真系统设计与实现

介绍了一种战场数据融合仿真系统的设计与实现方法。该系统由场景设定、信号产生、融合跟踪处理、目标识别、态势与威胁估计与数据库支持等功能子系统组成,模拟了数据融合的整个信息处理流程,包括:主动探测雷达、雷达侦察设备、通信侦察设备和敌我识别器获取敌我目标观测信息、利用多传感器跟踪数据对目标进行融合跟踪、提取辐射源电磁信息特征对敌方目标识别,进而形成态势与威胁估计。最终在Visual C#开发平台上利用MapX和ORACLE开发了战场数据融合仿真系统,并成功应用于实际系统中,取得了较好的效果。     

基于高阶累积量与神经网络的干扰识别算法

研究了一种基于高阶累积量和神经网络的干扰识别算法。该方法把卫星通信中常见的各种干扰信号的归一化高阶累积量作为分类特征参数,应用神经网络对特征参数进行分类训练,将接收干扰信号的归一化高阶累积量输入已训练的神经网络进行干扰类型的识别。试验结果表明:该算法在低干信比的情况下具有较高的识别准确率。     

基于专家系统的弹道导弹目标识别方法

传统Dempster-Shafer(D-S)算法及其改进算法中,一般将冲突证据与不冲突证据统一融合,无论融合过程中冲突证据所占权重多小,这都将降低融合效率。针对这个问题,引入专家系统理论,面向信息融合中证据冲突的问题,将冲突证据与无冲突证据分组,构建了基于专家信任度的弹道导弹目标识别模型和专家知识库模型,从工程上设计了弹道导弹目标识别专家知识库系统,提出了两种专家知识权重确立方法,并通过实例以及仿真,验证了算法的可行性。     

地面目标特征识别与无人飞行器位姿估计

针对小型无人飞行器位置姿态估计问题,提出了一种基于视觉图像目标特征的相对位姿估计算法。应用Camshift算法获取目标初始位置,利用非线性尺度空间下的KAZE特征进行跟踪区域特征点提取,与源目标特征点进行匹配,得到精确的目标位置信息,实现了在图像平面内的目标快速跟踪,并得到机体轴系下无人飞行器与目标间相对位置和姿态角的估计值。对算法进行了实验验证,具有优良的跟踪性和实时性。     

利用固态继电器阵列实现高精度可调直流稳压电源设计

在利用三端集成式稳压器LMH317构成直流稳压电源的基础上,添加由固态继电器阵列控制导通的高精度电阻,通过计算进行合理取值。由主控制器FPGA执行上位机指令,实现稳压器输出端电压大小调整。继电器AQY210具有电气开关特性,且内阻较小,对输出电压精度影响较小,通过对输出电压的正确标定,使其具有输出范围宽,精度高的优点,能够满足现代工业发展对能源供给装置的需求。     

Epidemics,national security,and US immigration policy

What are relationships between epidemics, national security, and US immigration policy? This question is important because it sheds light on transnational or nontraditional security areas, American immigration policy, and a pressing issue for US leaders who have recently faced epidemics such as the West Africa Ebola outbreak that began in 2013. This article answers it and lays ground in the area by reviewing epidemics in world history, using International Relations and Security Studies works to specify dangers of contagions for states, and identifying three general immigration measures that American leaders have utilized from the seventeenth century to the present day to protect against contagions, which are (1) policies restricting entrance of foreigners thought to carry specified diseases, (2) the isolation or quarantining of immigrants with contagious disease, and (3) delegating the President with authority to stop immigration in the event of an epidemic abroad. This study has implications for research and contemporary US immigration policy.     

CFO条件下的OFDM子载波调制样式识别方法

提出了一种基于信号幅度分布特征与多次方谱线特征相结合的调制样式识别算法。该算法主要基于正交解调后的正交频分复用子载波信号的幅度分布特征,采用直方图统计的方法实现多进制相移键控和多进制正交幅度调制识别,用多方次谱特征实现多进制相移键控类的调制识别。相比基于经典的高阶累积量的调制识别算法,具有更好的载波频率残留偏差适应能力,在载波频率偏差条件下,提高了调制识别率;相比循环平稳方法,具有更好的信噪比适应能力。仿真实验结果表明了该方法的有效性,相同的识别率下能适应更低的信噪比。     

Is strategic studies narrow? Critical security and the misunderstood scope of strategy

Critical security advocates commonly portray strategic studies as crippled by its narrow focus on Cold War-era military issues, as state-centric and as Western-centric. I argue that this conception of the scope of strategy is flawed and I offer a comprehensive rebuttal by working out the logic of the theories advanced by Carl von Clausewitz and Thomas Schelling. The proponents of critical security overlook the striking expansion of strategy during the Cold War, its longstanding inclusion of competing political actors not just states, as well as its capacity to put Western and non-Western actors in a common analytic frame. By breaking out of the conceptual jails in which strategy has been incarcerated, I seek to reconnect International Relations to strategic thought from which it has become increasingly estranged.