The structure of the defense industry and the security needs of the country: a differentiated products model

This paper models the interactions between the defense needs of the USA and Western Europe, which produce several heterogeneous defense goods, and the defense industry market structure. The results show that net defense costs of the USA and Europe are lower when the number of defense firms in each arms‐producing country is small and when the world prices of the defense goods are high. The model predicts that the increase in world prices will crowd‐out countries in the developing world from the market for modern weapon systems and may force them to develop and use ‘cheap and dirty’ weapon systems.     

美军装备采办中需求牵引与技术推动融合研究——以F-22战机为例

通过分析F-22项目中需求牵引和技术推动两大动力,指出美军的体制机制保障动力融合,采办文件明确动力融合,机构设置促使动力融合。总结出我国武器装备发展一是系统构建、综合权衡,二是瞄准实战、滚动评估,三是紧跟前沿、严控陷阱。     

基于频域分离的拖曳式诱饵与目标辨识

诱饵与目标的辨识是拖曳式诱饵干扰对抗的基本问题.干扰过程中导弹、目标、诱饵三角几何关系的变化导致了目标与诱饵的多普勒频率存在差异,为从频域实现目标与诱饵的分辨提供了可能.在详细分析迎头及尾追场景下目标与诱饵频域可分性的基础上,采用L类魏格纳分布(LWVD),利用其能够提高方位向分辨率和抑制交叉项的优点,实现了导引头波束...     

一种基于单频GPS接收机的自迭代定位算法

随着通用航空及无人机产业的发展,低成本及小型化的导航解决方案将具有广泛的市场。提出了一种基于单频GPS接收机的自迭代定位算法,用于提高定位精度,增强定位收敛性。对该算法的基本原理进行了分析,并推导出该算法的数学模型,通过静态实验的方法对该算法的收敛性进行验证,并将该算法的位置信息与最小二乘法解出的位置信息进行对比,体现了自迭代定位算法的优势。     

矿区生态型和非矿区生态型蜈蚣草对铅胁迫的生理响应

探讨不同矿区生态型蜈蚣草对铅的耐性及其耐铅机理,为进一步研究蜈蚣草植物修复射击场土壤的铅污染提供理论依据。在水培铅胁迫的环境条件,对矿区生态型和非矿区生态型蜈蚣草生长过程中的生物量、色素含量、MDA质量摩尔浓度和CAT,POD,SOD活性等进行了研究。研究发现,营养液中铅的加入抑制了蜈蚣草的生长,降低了羽叶中的色素含量,大幅度提高了MDA质量摩尔浓度和CAT,POD,SOD活性。结果表明,蜈蚣草对铅有一定的耐性,并且矿区生态型蜈蚣草的耐性明显高于非矿区生态型。主要表现为矿区生态型蜈蚣草的抗氧化酶活性高于非矿区生态型,生物量和色素含量受铅胁迫影响的程度相对较小。当铅质量浓度达到300 mg/L,铅胁迫15 d后,非矿区生态型蜈蚣草抗氧化酶系统紊乱,植株接近枯死状态,而矿区生态型蜈蚣草的耐性表现相对较好。     

The effect of deployment on first‐ and second‐term re‐enlistment in the US active duty force

Why should deployment affect re‐enlistment? In our model, members enter the military with naïve beliefs about deployment and use actual deployment experience to update their beliefs and revise their expected utility of re‐enlisting. Empirically, re‐enlistment is related to the type and number of deployments, consistent with the learning model. Non‐hostile deployment increases first‐term re‐enlistment but hostile deployment has little effect except for the Army, where the effect is positive. Both types increase second‐term re‐enlistment. Interestingly, first‐term members with dependants tend to respond to deployment like second‐term members. In addition, deployment acts directly to affect re‐enlistment, not indirectly through time to promotion.     

GPS L1C信号LDPC译码器设计

GPS现代化中的L1C信号使用了LDPC码,以提高接收机的弱信号接收能力。L1C信号中使用的LDPC码没有循环或准循环结构,这为译码器设计带来了难度。为了降低译码器实现复杂度,在分析L1C信号LDPC码校验矩阵结构的基础上,通过对校验节点分类和改变变量节点更新方法,提出了一种低存储量和简化译码器控制逻辑的低复杂度译码器结构,并通过仿真验证了译码器译码结果的正确性。     

L+1容错恢复策略在复杂军事网络中的应用仿真

以标准3×3网格为基础网络,介绍了L+1容错恢复策略的概念和恢复原理,以海上舰艇编队作战系统网络为研究对象,使用Matlab-Simulink仿真工具,通过对阻塞概率、平均路径长度、路径重新分配概率和有效利用率4个指标的仿真,对比了该网络在无策略、备份多路和L+1容错恢复3种策略下网络的恢复程度,验证了L+1容错恢复策略的有效性和可行性。     

Defence Enterprise Surveys On Market Outlets: The Case Of Slovenia

This article presents the results of an empirical survey of Slovenian defence enterprises focusing on three segmented geographic market outlets: the domestic market, the other European Union (EU-26) markets and the global markets. In the enterprise surveys are included around two-thirds of the domestic defence enterprises of different sizes and activities. The Slovenian defence enterprises by production, supply-in-return, subcontracting, middleman and trader activities in the defence marketing chains are mostly specializing towards the businesses on the domestic market. Rare enterprises are specialized exclusively for activities on the EU-26 markets and the global markets.     

基于变结构神经网络的L1自适应控制

针对传统模型参考自适应控制存在的鲁棒性问题和神经网络结构庞大因而计算量膨胀的问题,提出了一种变结构神经网络L1自适应控制方法,其中变结构神经网络用于在线辨识系统存在的未知非线性函数,该网络通过对节点进行唤醒与催眠以动态调节结构,以最少的节点数进行有效的逼近,降低计算复杂度;L1自适应控制用于网络权值学习与系统非线性补偿,反馈回路中设有一个低通滤波器,只要满足L1增益条件,就能确保系统的输入输出信号的瞬态响应和稳态跟踪性能与一个期望的线性时不变系统的响应保持一致。通过对四旋翼飞行器进行仿真,验证了该方法的有效性。