论舰炮反导火控系统采用的目标运动观测向量

本文论述了近程舰炮反导火控系统附加独立信息测量的必要性,并根据观测向量（ｒ,ｒ,ε,β,δｂ,δｅ,ωε,ωｒ,ωβ）,导出了运动目标的位置和速度观测方程。据此,可以确切理解速率火控系统的解算原理。     

近程武器系统两种跟踪滤波方案的精度比较

本文推广了[2]中关于耦合x,y卡尔曼跟踪滤波器稳态估计精度解的形式。对近程武器系统跟踪滤波坐标系的选择问题,从精度的角度作了讨论。     

The causal nexus between military spending and unemployment in the G7: a bootstrap panel causality test

We revisit the causal relationship between military spending and unemployment in the G7 countries applying a bootstrap panel causality analysis that accounts for both cross-sectional dependence and for heterogeneity across countries. Using per capita real GDP as a controlled variable, we found a unidirectional causality running from military spending to unemployment for Canada, Japan, and the US, one-way causality running from unemployment to military spending for France and Germany, and bidirectional causality for Italy and the UK. The empirical evidence does not seem to provide consistent results regarding the causal relationship between military spending and unemployment in G7 countries.     

导频设计的MIMO-OFDM改进信道估计算法

为提高系统的传输效率并改善信道估计的性能,提出了一种结合优化导频设计的分段带阻滤波算法.采用优化的导频设计,该算法在少量增加计算复杂度的基础上,能够进一步提高信道估计的性能,与实际中广泛应用的经典时域滤波算法相比,具有更高的估计精度.仿真结果证明该算法适用于不同的信道环境,尤其在低信噪比的条件下,该算法能够明显降低信道估计的MSE.     

基于事件分解的电磁脉冲前门耦合效能评估方法

电磁脉冲弹是一种利用辐射高功率电磁脉冲干扰/毁伤目标电子系统的新概念武器。为计算电磁脉冲通过前门耦合毁伤目标的效能,提出一种基于事件分解的效能评估方法,按时间序列将前门耦合-毁伤过程分为弹体爆炸辐射功率、电磁能量传输衰减、目标系统耦合3个子事件,分别用不同算法计算不同子事件的发生效能。用这种方法对美国MK.84导弹搭载的电磁脉冲弹进行评估,得到一定参考价值的效能评估值。     

具有参数漂移特征的退化可靠性评估方法

针对具有参数漂移特征的产品,首先采用随机扩散理论描述其参数漂移规律,并建立了参数漂移模型.在此基础上,提出了将参数漂移模型预测与产品寿命分布拟合相结合的可靠性评估方法,即利用参数漂移模型对产品不同时刻的可靠度进行预测,通过适当增加产品可靠性预测点,拟合产品的寿命分布,进而获得产品的可靠性评估结果.该方法充分利用产品参数漂移规律和产品寿命分布规律,可有效提高产品可靠性评估精度.最后,通过实例比较,验证了该方法的可行性和有效性.     

Dynamic regulation on innovation and adoption of green technology with information asymmetry

This study investigates a regulator's dynamic policy to motivate firms' research on and adoption of green technology. In the proposed model, a firm makes unobservable efforts and can hide the technology's arrival from the regulator to avoid adoption costs. We find that the optimal policy follows a simple structure and induces part-time efforts, rather than the maximal effort reported in previous studies. In particular, the regulator should offer no subsidy before the arrival of a technology report, provide a one-time subsidy contingent upon that report, and always set a termination deadline. At the deadline, the firm is forced to select an external option that is associated with social costs. The optimal report-based subsidy decreases with time. Under the optimal policy, the firm works until an effort deadline, makes no effort thereafter, and reports the technology as soon as it arrives. This study also characterizes the necessary and sufficient conditions under which the optimal policy reduces to one that leads, in terms of throughout time, to effort that is maximal or minimal. Our results indicate that policymakers should implement a policy that compensates firms more in the present and less in the future.     

一种纯方位跟踪中的自适应滤波算法

针对纯方位被动目标跟踪中扩展卡尔曼滤波算法易发散的不足,提出了一种自适应的改进算法。该算法利用极大后验噪声估计器Sage-Husa对虚拟观测噪声进行实时在线估计,动态补偿线性化带来的误差。算法的对比仿真分析结果表明,AEKF较之EKF滤波效果有所改善,增强了稳定性,提高了精度,为水下纯方位被动目标跟踪的实现提供一种新的方法。     

舰载弹炮结合近程防空武器系统研究

针对舰载弹炮结合近程防空武器系统的发展现状和结构形式,依据其特点,分析了采用舰载弹炮结合近程防空武器系统优点和意义,提出了舰载弹炮结合近程防空武器系统要求,并对如何发展舰载弹炮结合近程防空武器系统提出了建议.     

基于粗糙集-神经网络编队协同空战决策系统

为了提高空战决策的实时性和准确度,将粗糙集理论和神经网络引入到编队协同空战战术决策研究中,提出了应用SOM网络-粗糙集-BP网络集成进行编队协同空战战术决策的方案:应用SOM网络离散化决策系统输入数据的连续属性值;利用粗糙集数据分析方法,从数据中提取出规则将输入映射到输出的子空间上;在这个子空间上用BP网络进行逼近.2:4编队空战实例仿真结果验证该方案的可行性,在数据充分的条件下,该方案可以推广应用于其它空战决策系统.