基于RCS序列的助推段弹道导弹识别

在弹道导弹的助推段,通过低分辨率雷达得到RCS序列作为识别的重要信息。由于运动特性和电磁散射特性的差异,弹道导弹在助推段的RCS序列与其他目标相比具有可识别性,但需要对其RCS序列进行处理。基于目标识别技术,详细阐述能从RCS序列中提取出的特征参数,并通过直方图、N点截图等方法给出了直观的反映。最后,将弹道导弹助推段特征与飞机、燃料舱等典型目标进行对比,得到可以作为识别参量的特征参数,并通过类内类间距离验证了有效性。     

基于云模型-AHP的制导弹药射击效能评估

对制导弹药的射击效能进行评估在仿真试验领域具有重要的意义。依据某制导弹药的工作原理及影响其射击精度的主要因素,制定了其射击效能评估指标体系。运用层次分析法(AHP)计算了各级指标的权重,划分了评估等级,并在各个指标隶属度的计算中引入了云模型算法。最后,将评估结果以隶属云的数字特征的形式表示出来。     

基于灰色关联和D-S证据理论的导弹系统安全性评估

针对导弹系统安全性评价的不确定性问题,提出了将灰色关联和D-S证据理论相结合的方法,从人员安全性、设备安全性和环境安全性建立了综合评估指标体系,用灰色关联分析处理了指标之间的关联性。在传统证据合成公式的基础上,考虑证据集非关键因素的权重,给出了修正的证据合成公式。并以打靶选弹为例进行了计算分析,得出了导弹安全性优先级排序,并将改进算法与传统计算方法的结果进行了比较,验证了评价模型的可行性与实用性,为导弹系统的管理工作提供了有益的参考。     

Constraining missile defence†

Assessing missile defence through the prism of offence–defence theory requires primarily an examination of legal and structural constraints on future development. New weapons technology is frequently cited as having the most critical impact on the offence–defence balance. Yet, the method for assessing the introduction of a new weapons technology tends to neglect projected maturity and instead focus excessively on the initial rudimentary capabilities. It is argued here that the North Atlantic Treaty Organisation’s (NATO’s) missile defence is set to incrementally become more advanced in terms of quality, quantity and mobility, which is supported by a strategy that is increasingly favouring offence. As the system gradually enhances the offensive advantage vis-à-vis Russia, NATO categorically rejects any legal or structural constraints on future deployments.     

基于正交实验的弹道导弹射程灵敏度参数分析

传统灵敏度分析方法无法得出弹道导弹射程的高敏感影响因素。针对这一问题,提出利用基于正交试验的灵敏度分析方法,对影响弹道导弹战标的主要参数进行分析。选取射程灵敏度问题,设计了实验方案与分析流程,并依托弹道模型进行了仿真。仿真结果验证了方法的有效性。     

舰艇对空自防御系统集成优化方法

舰艇对空自防御系统的集成优化设计是提高系统使用性能的重要途径,系统地分析了舰艇对空自防御系统集成优化的总体思路和主要工作内容,提出了采用开放式体系架构和基于公共计算服务环境技术的舰艇对空自防御系统集成优化方案。     

导弹突防后弹道机动调整策略强化学习

针对弹道导弹中段突防后飞行弹道与标准弹道产生较大偏离的弹道机动调整问题,建立了机动调整时机策略最优化模型。设计了机动调整逆序Q学习算法,采用Tile coding逼近器编码状态特征空间,并对其进行线性逼近。构建了Q学习算法与蒙特卡罗方法相结合的逆序更新策略机制,以对导弹机动调整最优时机进行训练。仿真测试分析结果表明,在给定场景参数下,通过10 000代强化学习算法训练得到的策略能够可靠地使用最少机动次数控制导弹突防后飞行弹道的调整决策,验证了方法的有效性。     

多机空战系统的歼击机建模技术

分析了多机空战系统的顶层模型结构,给出了机载雷达、武器控制和导弹等三个主要部件的模型,可以将其应用于多机空战仿真系统的数学建模和软件设计中.     

导弹子母弹战斗部对复杂目标毁伤的计算机仿真

介绍了蒙特卡洛方法(Monte-Carlo)仿真的基本原理,并运用该方法对导弹子母弹战斗部对复杂目标毁伤进行研究,利用Matlab语言编制仿真程序实现了计算机仿真.有效地解决了其他方法计算繁琐的弊端,大大提高了毁伤仿真的计算效率.仿真结果表明应用该方法建模技术简洁,模型的通用性好,并能够随时根据需求进行功能扩展.     

A split target detection and tracking algorithm for ballistic missile tracking during the re-entry phase

In the re-entry phase of a ballistic missile, decoys can be deployed as a mean to overburden enemy defenses. This results in a single track being split into multiple track-lets. Tracking of these track-lets is a critical task as any miss in the tracking procedure can become a cause of a major threat. The tracking process becomes more complicated in the presence of clutter. The low detection rate is one of the factors that may contribute to increasing the difficulty level in terms of tracking in the cluttered environment. This work introduces a new algorithm for the split event detection and target tracking under the framework of the joint integrated probabilistic data association (JIPDA) algorithm. The proposed algorithm is termed as split event-JIPDA (SE-JIPDA). This work establishes the mathematical foundation for the split target detection and tracking mechanism. The performance analysis is made under different simulation conditions to provide a clear insight into the merits of the proposed algorithm. The performance parameters in these simulations are the root mean square error (RMSE), confirmed true track rate (CTTR) and confirmed split true track rate (CSTTR).