翼伞系统线目标归航方法

针对运载火箭助推器或子级无控坠落地面落点散布较大的情况,提出一种翼伞系统的线目标归航方法。建立了矩形边界下的归航计算模型,对点目标归航和线目标归航两种方法进行了收缩区域分析;对翼伞归航能力、落区散布边界特征对归航性能的影响进行对比分析,得到了相应的归航策略,并提出在较大散布区域下设置多个着陆区域的工程解决方案;建立动力学和操纵控制模型,对线目标归航过程进行了仿真。结果表明,所提方法对工程有一定的参考价值。     

The Serbian defence institution: the need for clear policy guidance to improve the Serbian defence planning,management, and command processes

ABSTRACT

The uncritical layering of western liberal defence governance norms and concepts on top of existing legacy concepts has impeded achieving coherent military capabilities and capacities when Serbia’s political and military leadership tried to reform the defence system using Western benchmarking principles and Western countries’ best practices. The process of this change has been more valuable than its actual output, as defined by increased capabilities. Such outcomes should be reflective of policy guidance, and can be thought of as closing the trinity loop of a defence planning system: plans, money and execution. This article addresses two key functional areas of the Serbian defence institution. First, it assesses the current state of defence planning to discern its strengths and weaknesses to ascertain if plans are tied to financial decision-making. Second, a full examination of current Serbian defence management is conducted to discern whether weaknesses exist that distract from producing operational capabilities. Both areas are analyzed thoroughly and some solutions for change are proposed. Also, the article analyzes the appearance of two negative phenomena in the planning process – economization and managerialism.     

排课中合班问题的探讨

基于排课的实际需要,分析了合班对排课的影响,结合遗传算法在排课中的应用,建立了针对班级上课时间分布均匀性以及课程上课时间分布均匀性的适配值函数.在对课程表进行编码后,把合班问题的解决方案应用于排课算法,使用合班信息与课表编码信息的双表操作,从而能在遗传基因中判断出非法个体,并能进行合理化调整.算例结果表明本算法能有效解决排课中的合班问题.     

多架无人机协同作战的路径规划

提出了一种协调多架无人机的编队同时到达目标的航路规划方法.首先根据敌方防御区域内雷达、导弹等威胁阵地的具体分布情况,采用划分Voronoi多边形的方法制定初始航路,然后通过叠加定长线段到初始航路上对初始航路进行离散化,最后采用动态链类比法调整航路并对航路进行光顺优化处理,使航路安全可飞.并用数字仿真技术对该方法进行了验证,结果表明该方法是可行的.     

An eikonal equation based path planning method using polygon decomposition and curve evolution

Path planning is a key technique of autonomous navigation for robots, and the velocity field is an important part. Constructing velocity field in a complex workspace is still challenging. In this paper, an inner normal guided segmentation algorithm in a complex polygon is proposed to decompose the complex workspace in this paper. The artificial potential field model based on probability theory is then used to calculate the potential field of the decomposed workspace, and the velocity field is obtained by utilizing the potential field of this workspace. Path optimization is implemented by curve evolution, during which the internal force generated in the smoothing process of the initial path by a mean filter and the external force is obtained from the gradient of the workspace potential field. The parameter selection principle is deduced by analyzing the influence of several parameters on the path length and smoothness. Simulation results show that the designed polygon decomposition algorithm can effectively segment complex workspace and that the path optimization algorithm can shorten and smoothen paths.     

基于深度神经网络的无线覆盖预测算法*

为保证新一代移动无线网络能够根据实时覆盖情况动态地调节小区天线参数,需要实现高效且准确的无线覆盖预测。传统的求解方法通过精确的场强预测来判断天线参数的优劣,虽然精度很高但需要大量的计算资源,无法满足5G和后5G移动网络通过实时覆盖预测进行射频参数动态调整的实际需求。现采用基于深度神经网络的算法对给定天线参数的覆盖效果进行预测,以取代对目标区域的精确场强预测。数值结果表明,该方法能够在保持计算准确性的同时显著减少计算量,为5G动态网络规划提供基础性参考数据。     

Analysis on MAV/UAV cooperative combat based on complex network

A formation model of manned/unmanned aerial vehicle (MAV/UAV) collaborative combat can qualitatively and quantitatively analyze the synergistic effects. However, there is currently no effective and appropriate model construction method or theory, and research in the field of collaborative capability evaluation is basically nonexistent. According to the actual conditions of cooperative operations, a new MAV/UAV collaborative combat network model construction method based on a complex network is presented. By analyzing the characteristic parameters of the abstract network, the index system and complex network are combined. Then, a method for evaluating the synergistic effect of the cooperative combat network is developed. This method provides assistance for the verification and evaluation of MAV/UAV collaborative combat.     

Russian mission-command in VOSTOK strategic exercises

Russian military prefers and exercises differently compare to the Western planning and execution philosophies with mission command allowed and appreciated in sub unit levels only. “Vostok-2018” provided a lot of evidences Russians using de-centralised execution in the sub-unit levels and at the same time centralised control at levels of units and formations.     

临空高超声速飞行器地基拦截引导需求分析

NSHV具有速度快、隐身性好、突防能力强等特点,对传统防空反导体系提出了巨大挑战,对国家安全构成了重大威胁。针对此类目标拦截引导难度大的特点,分析了地基雷达在地球曲率影响下引导能力的局限性;具体讨论了武器系统对NSHV的拦截引导需求,分析了地基雷达引导能力与需求的矛盾关系;基于上述分析,给出了天基、临空基、空基和地基探测平台协同引导的解决方案,并结合实例对协同引导的过程和能力进行了分析。此研究对于未来应对NSHV的威胁具有一定的理论指导意义。     

坦克兵力行为智能体模型研究

为了有效模拟兵力物理行为和智能行为的不同特性,提出了一个复合结构坦克兵力智能体模型,该模型综合了反应式行为和慎思行为两方面的优点。采用层次化组合方法建立了基于行为模式的兵力物理行为模型,使兵力智能体能对动态战场环境作出灵活的反应。结合兵力不同类型任务的分析,设计了基于规划的兵力智能行为模拟方法,使兵力智能体能按照战术原则进行作战任务规划。