Decision support model for effects estimation and proportionality assessment for targeting in cyber operations

Cyber operations are relatively a new phenomenon of the last two decades.During that period,they have increased in number,complexity,and agility,while their design and development have been processes well kept under secrecy.As a consequence,limited data(sets)regarding these incidents are available.Although various academic and practitioner public communities addressed some of the key points and dilemmas that surround cyber operations(such as attack,target identification and selection,and collateral damage),still methodologies and models are needed in order to plan,execute,and assess them in a responsibly and legally compliant way.Based on these facts,it is the aim of this article to propose a model that i))estimates and classifies the effects of cyber operations,and ii)assesses proportionality in order to support targeting decisions in cyber operations.In order to do that,a multi-layered fuzzy model was designed and implemented by analysing real and virtual realistic cyber operations combined with interviews and focus groups with technical-military experts.The proposed model was evaluated on two cyber operations use cases in a focus group with four technical-military experts.Both the design and the results of the evaluation are revealed in this article.     

Fuzzy recognition of missile borne multi-line array infrared detection based on size calculating

In order to improve the infrared detection and discrimination ability of the smart munition to the dy-namic armor target under the complex background, the multi-line array infrared detection system is established based on the combination of the single unit infrared detector. The surface dimension features of ground armored targets are identified by size calculating solution algorithm. The signal response value and the value of size calculating are identified by the method of fuzzy recognition to make the fuzzy classification judgment for armored target. According to the characteristics of the target signal, a custom threshold de-noising function is proposed to solve the problem of signal preprocessing. The multi-line array infrared detection can complete the scanning detection in a large area in a short time with the characteristics of smart munition in the steady-state scanning stage. The method solves the disadvan-tages of wide scanning interval and low detection probability of single unit infrared detection. By reducing the scanning interval, the number of random rendezvous in the infrared feature area of the upper surface is increased, the accuracy of the size calculating is guaranteed. The experiments results show that in the fuzzy recognition method, the size calculating is introduced as the feature operator, which can improve the recognition ability of the ground armor target with different shape size.     

重型装备空投系统的匹配设计与评估方法

为解决重型武器装备空投系统的匹配设计问题,采用非线性有限元方法,结合气体热力学理论,建立重型装备空投系统的仿真模型,结合装备的试验数据进行了模型的验证,在分析重装空投落地缓冲过程的响应特性的基础上,研究了空投系统的匹配设计与评估方法,并以高海拔条件下空投过程中缓冲气囊的缓冲特性为例进行了分析,研究结果对空投系统的优化设计、匹配与评估具有一定的参考价值。     

模糊综合评判的混合决策算法

通过对多指标评判的分析 ,结合模糊评价方法的特点 ,论述了一种多指标模糊综合评判的混合决策算法。在模糊综合评判的取大取小算法的基础上 ,给出一种比较好的模糊综合评价的混合算法     

基于Legendre伪谱法的UGV避障路径规划

针对传统优化方法不易解决含有复杂动力学约束的路径规划问题,提出利用勒让德伪谱法(Legendre Pseudospectral Method,LPM)对地面无人驾驶器(unmanned ground vehicle,UGV)的避障路径规划进行研究。通过建立UGV的动力学模型和障碍物模型,整合了基于LPM的路径约束条件。最后应用以LPM为基础开发的MATLAB插件包DIDO,计算得出了优化路径。仿真实验中以UGV移动路径规划为例,设计实现了UGV的避障规划。仿真结果表明此方法具有较快的计算速度和准确性。     

防空兵C3I系统C3CM能力的模糊综合评判模型

通过对防空兵C3I系统C3CM(C3I对抗)的分析,建立了防空兵C3I系统C3CM能力评价指标,应用模糊综合评判方法建立了相应的评估模型,介绍了用层次分析法确定各因素权重的方法,并给出了具体实例证明其模型的可行性.     

基于模糊集理论和D-S证据推理的空袭目标识别

目标识别是防空作战指挥过程中信息处理的一个重要环节。在基于模糊理论目标识别基础上,引入D-S证据理论,通过对模糊隶属度进行重新分配,较好地克服了随机因素的影响,可望进一步提高对空中目标的正确识别率。     

一种模糊自适应INS/GPS组合导航方法

提出了一种基于模糊逻辑的自适应卡尔曼滤波新算法,即基于滤波数据残差构造一种模糊算法,以自适应控制卡尔曼滤波器的增益系数。从而可以消除异常的测量数据带来的影响,使滤波器的残差始终保持零均值,且使估计误差的协方差阵收敛,最终实现最优估计。通过对INS/GPS组合导航系统的计算机仿真结果表明,该算法具有比常规卡尔曼滤波算法更高的导航精度。     

导弹光学告警系统及对抗技术综述

详述了导弹羽烟热辐射的光电高速采集方法 ,并实时对导弹逼近告警。同时介绍了国外红外告警技术的发展现状