基于不确定语言多属性决策的目标威胁度排序

针对影响不同类目标威胁度的因素建立了目标威胁度指标体系,并在此基础上,利用不确定语言多属性决策模型对不同类目标威胁度进行排序。该方法不仅充分体现了不同类目标威胁度的影响因素,还充分利用了专家和决策人员的经验,能较好地反映现代战场中目标威胁度的实际情况,利于提高智能化程度;模型适应性较强,计算量小,符合军事系统实时性的特殊要求,使评估结果更具有可信性和实用性。     

基于贝叶斯网络的装甲目标战术企图推理模型构建

以贝叶斯网络理论为基础,分析基于贝叶斯网络的目标企图推理框架,从目标状态、目标性质、战场环境和战术特性4个方面提取节点,在分析这4个节点拓扑结构的基础上,构建了装甲目标战术企图推理的贝叶斯网络拓扑结构。     

The SSA-BP-based potential threat prediction for aerial target considering commander emotion

The target's threat prediction is an essential procedure for the situation analysis in an aerial defense system. However, the traditional threat prediction methods mostly ignore the effect of commander's emotion. They only predict a target's present threat from the target's features itself, which leads to their poor ability in a complex situation. To aerial targets, this paper proposes a method for its potential threat prediction considering commander emotion (PTP-CE) that uses the Bi-directional LSTM (BiLSTM) network and the backpropagation neural network (BP) optimized by the sparrow search algorithm (SSA). Furthermore, we use the BiLSTM to predict the target's future state from real-time series data, and then adopt the SSA-BP to combine the target's state with the commander's emotion to establish a threat prediction model. Therefore, the target's potential threat level can be obtained by this threat prediction model from the predicted future state and the recognized emotion. The experimental results show that the PTP-CE is efficient for aerial target's state prediction and threat prediction, regardless of commander's emotional effect.     

舰艇箔条质心干扰对抗多威胁目标方法

摘 要：在未来海战中,水面舰艇将面临多枚导弹攻击的威胁,传统的箔条质心干扰发射决策方法无法有效干扰来袭的多枚导弹;在分析传统箔条质心干扰成功条件的基础上,建立了箔条质心干扰对抗多目标成功判断模型,通过仿真计算,提出了箔条质心干扰对抗多威胁目标方法;可充分发挥现役无源干扰装备的作战潜能,提高海军水面舰艇的生存能力。     

Playing dirty to survive: the vulnerability of civilian targets within U.S. military aid recipient states

ABSTRACT

U.S. military aid provides recipient governments the fighting capability they require to undermine domestic militant groups, which can undermine groups’ leadership structures and trigger group splintering. In this environment, brutal attacks against non-combatants become an effective mechanism for targeted groups to signal their resolve and outbid competitors. A large-n analysis of U.S. military aid between 1989 -2011 links higher levels of military aid with higher levels of rebel-perpetrated civilian killings, and deaths due to explosive attacks on non-combatant targets. A closer examination of the case of Pakistan sheds further light on the underlying causal mechanisms.     

猎击时敏目标的作战机理分析

美军在第二次对伊战争中,以比第一次对伊战争少得多的兵力,更短的准备时间和更少的消耗取得了更大的胜利,对比两次对伊战争中所用的兵器,坦克、主战飞机、战车、轻兵器等主战装备基本还是上次对伊战争的旧兵器,最大的变化是无人机的大量使用,情报系统、战术网络的提升,使战斗能力有极大的提高,这种由系统整合、提升信息化能力、改进指挥控制所产生的作战效能的提升是显著和有效的,代表发展战争潜力的方向。文中以美军对伊战争中主要的作战样式——打击时敏目标为作战想定,建立作战系统猎击时敏目标作战效能模型,对影响作战系统效能的各种因素作定量的分析,揭示作战效能提升的机理。     

空中反恐中保卫目标重要度指标体系研究

空中恐怖袭击具有突然性和随意性的特点,其目的是通过制造恐怖事件引起巨大影响,带来社会恐慌。通过分析空中恐怖袭击对袭击目标选择的特点,剖析其规律性,从而建立空中反恐保卫目标重要度指标体系和保卫目标重要度评价模型,对保卫目标进行科学有效地划定与排序,便于在空中反恐作战中对保卫目标及早进行确定、实施空中警戒范围划定和战斗部署。     

基于改进TOPSIS法和蚁群算法的反TBM目标群目标分配研究

基于改进的TOPSIS法和蚁群算法,以弹道导弹目标群为研究对象,研究了反导指控系统对目标群的目标分配问题。首先通过改进的TOPSIS法确定TBM目标群威胁排序并基于拦截排序准则确定拦截排序;其次使作战效能最大化,基于蚁群算法确定目标的最优分配方案;最后通过仿真实例验证了在考虑目标威胁值排序前提下采用此算法,可使目标群分配方案更加科学有效和符合反导作战实际。     

基于改进TOPSIS法和蚁群算法的反TBM 目标群目标分配研究*

基于改进的TOPSIS法和蚁群算法,以弹道导弹目标群为研究对象,研究了反导指控系统对目标群的目标分配问题。首先通过改进的TOPSIS法确定TBM目标群威胁排序并基于拦截排序准则确定拦截排序;其次使作战效能最大化,基于蚁群算法确定目标的最优分配方案;最后通过仿真实例验证了在考虑目标威胁值排序前提下采用此算法,可使目标群分配方案更加科学有效和符合反导作战实际。     

基于RCS序列的空间目标分类识别方法

结合三轴稳定卫星、自旋稳定卫星、翻滚目标和空间碎片的运动特征,依据强散射中心理论分别建立这四类空间目标的电磁散射模型,通过计算机仿真得到其RCS序列仿真值.针对这四类空间目标的RCS序列特点,提出了一种三轴稳定卫星与空间碎片的判别方法和利用RCS的周期性对空间目标分类识别算法,计算机仿真实验验证了算法的有效性.