小型旋翼无人机在未来城市军事行动应用中潜力评估

随着全球范围的城市化进程不断推进,未来军事斗争向城市环境中发展是必然趋势。在城市作战需求分析的基础上,剖析了传统装备的"城市病",阐述了小型旋翼无人机在城市军事行动中的应用潜能。研究表明,针对现有装备在城市作战中显示出的若干短板,发展基于小型旋翼无人机打造侦察平台与精确打击平台将是一个较好的解决方案。而运用军民融合的发展模式挖掘小型旋翼无人机军用潜力,在提升军队作战能力,降低成本均具有积极意义。     

‘Clean’ bombs: Nuclear technology and nuclear strategy in the 1950s

The idea of ‘clean’ bombs, nuclear weapons with a reduced amount of radioactive fallout resulting from their fission part, has met much ridicule since its public inauguration in 1956. Many scholars have regarded the bombs as a propaganda tool, stopping short of analyzing their role in the transformative phase of US nuclear strategy in the 1950s. This paper reexamines the clean bomb episode through 1958, shedding light upon the dynamic relationship between the development of nuclear weapons technology and the evolution of nuclear strategy from massive retaliation to flexible response. It also discusses the mechanism and momentum of nuclear weapons technology innovation until the US suspended nuclear testing in late 1958.     

舰艇编队航渡中对空防御组织研究

为提高舰艇编队的对空防御能力,根据实际情况以及水面舰艇战术理论,从对空中威胁的判断、防空兵力的配置和计算以及对空抗击的组织等方面对编队航渡中的对空防御组织进行了论述。对舰艇编队防空建设及防空能力的提高有一定的现实意义。     

战场环境中多无人机任务分配的快速航路预估算法

战场环境中多无人机任务分配的航路预估是一个具有多路径和实时性双重要求的路径规划问题。采用概率路标图方法对多无人机多任务的航路预估问题开展研究,将航路预估分为离线学习和在线查询两个阶段。通过将战场中威胁的影响转化为各路标间航段的风险代价,提出了基于代价变换的概率路标图方法,当战场态势发生变化时,在不需重构路标图的条件下可以通过局部航段风险代价的调整快速规划出新的预估航路。根据规划条件采取不同的采样策略,可以在规划时间和航路质量之间实现协调以满足不同的战术要求。仿真结果表明该方法是一种快速有效的航路预估方法。     

基于Entropy-Topsis的水面舰艇编队防空配置方案优选研究

合理配置编队防空舰艇是提高编队对空防御作战效能的一项重要手段。以两型四舰六扇面的典型配置方案优选为研究对象,建立了配置方案评价指标体系及相应数学模型,构建了编队防空舰艇配置方案优选问题的决策矩阵,应用Entropy?Topsis模型进行优选,对各方案进行排名,并得到了相应最优解和最劣解。     

无人机飞行训练资源配置效率的AHP-Arena综合评价方法

为降低传统层次分析法(analytic hierarchy process,AHP)赋权过程主观片面性影响,提出了一种综合AHP与Arena仿真建模技术的无人机训练资源配置效率评价方法。基于飞行训练流程分析,确定了训练资源配置效率影响因素和效率评价指标,建立了层次型综合评价体系,概括了AHP-Arena综合评价步骤。利用Arena建模软件构建训练流程动态仿真系统并验证有效性,采用单变量数值仿真法、均方差决策法完成了影响因素客观赋权,通过线性加权综合法得出综合评价系数,实现资源配置效率评价与方案优选。实例应用说明了该方法的有效性,同时,该方法可推广至其他类似的训练过程中,亦可为其他多因素、多指标评价决策过程提供借鉴。     

Autonomous maneuver decision-making for a UCAV in short-range aerial combat based on an MS-DDQN algorithm

To solve the problem of realizing autonomous aerial combat decision-making for unmanned combat aerial vehicles (UCAVs) rapidly and accurately in an uncertain environment, this paper proposes a decision-making method based on an improved deep reinforcement learning (DRL) algorithm: the multi-step double deep Q-network (MS-DDQN) algorithm. First, a six-degree-of-freedom UCAV model based on an aircraft control system is established on a simulation platform, and the situation assessment functions of the UCAV and its target are established by considering their angles, altitudes, environments, missile attack performances, and UCAV performance. By controlling the flight path angle, roll angle, and flight velocity, 27 common basic actions are designed. On this basis, aiming to overcome the defects of traditional DRL in terms of training speed and convergence speed, the improved MS-DDQN method is introduced to incorporate the final return value into the previous steps. Finally, the pre-training learning model is used as the starting point for the second learning model to simulate the UCAV aerial combat decision-making process based on the basic training method, which helps to shorten the training time and improve the learning efficiency. The improved DRL algorithm significantly accelerates the training speed and estimates the target value more accurately during training, and it can be applied to aerial combat decision-making.     

密集环境中无人机协同机动飞行运动规划方法综述

从单无人机机动飞行向多机协同扩展的通用规划框架出发,介绍了其中各模块相关研究的基本原理、代表性方法和前沿研究,主要包括用于环境障碍感知的实时导航地图构建、离散空间的路径规划、连续空间的轨迹规划、基于离散连续混合空间的规划、多航迹或轨迹的协同规划。综合无人机通用规划框架的关键技术,提出了无人机协同机动规划下一步需要重点研究的方向。     

高空长航时无人机编队协同侦察任务规划

针对高空长航时无人机侦察任务规划特点,分析了高空长航时无人机执行侦察任务过程中的飞行航线约束和通信条件约束,以最小化无人机总飞行航程和最终编队飞行时间为优化目标,建立无人机编队协同侦察任务规划问题模型。同以往的通用侦察任务模型相比,该模型突出考虑了高空长航时无人机执行侦察任务过程的特点。以基本粒子群算法为基础,通过粒子群离散化和结合遗传算法进行改进,使其适用于求解复杂组合优化问题。仿真结果验证了算法求解复杂任务规划问题的有效性。     

Outflanking missile defences: the Nuclear Non-proliferation Treaty,nuclear weapons and terrorism

Ian Bellany, an Emeritus Professor of Politics at Lancaster University, died in July 2011 at the age of 70, after a long and painful struggle with myelofibrosis, a rare and invariably terminal blood cancer. Between early 2009 and August 2010, under contract to Hurst & Co., he worked intermittently on a book about nuclear terrorism, which he provisionally entitled Before the Storm. The editor and I are grateful to Michael Dwyer at Hurst & Co. for releasing the draft. What is published here is an edited version of that draft. It may seem presumptuous to speak for Ian, but I am sure he would also have liked to thank the doctors and nurses of the NHS Morecambe Bay Universities Hospital Trust, whose skill, knowledge, and flair for improvisation kept him alive and writing for much longer than anyone expected. Alastair Bellany, Rutgers University, New Jersey, USA.

In the past, terrorists have tended to eschew acts of extreme violence for fear of alienating those whom they wish to persuade and attract to their cause. The first to discard this philosophy was the Aum group in Japan, which sought to use anthrax and acquire a nuclear weapon. Since then, attitudes have changed, spurred on by the impact on public perception of the successful Al Qaeda 9/11 attack on New York and Washington. By crossing the line between moderation and extreme violence, terrorist groups retain one valuable capability: they are much less easily deterred and have few inhibitions. This article considers the three nuclear options open to terrorists – produce a radiological contaminant bomb; build a nuclear bomb; or steal or get given a nuclear device. It examines the possibilities and probabilities of each option and considers how the implementation of the Nuclear Non-proliferation Treaty (NPT) provisions might impose some constraints on terrorists’ nuclear ambitions. By examining the doubtful nuclear security practices of different states and providing statistical evidence of an increase in levels of international terrorist violence, this article points to determined terrorists in time acquiring the means to acquire one or other variants of a nuclear weapon. It concludes that it is not a matter of “if” but “when.”