基于混响室的雷达回波传输环境模拟

为检验雷达回波传输质量,完成基于莱斯因子K的混响室电磁环境分级,提出混响室条件下雷达回波传输环境模拟评价参数信杂比S,对比分析莱斯因子K和信杂比S的测量原理．实验结果表明：混响室可用于雷达回波传输环境模拟．     

基于ExtendSim的高炮群作战效能仿真分析

构建了高炮部队抗空袭作战仿真流程,并在特定作战条件下基于ExtendSim建立了高炮群雷达诸元法抗击敌空袭目标的作战仿真模型,对火控雷达组网工作模式下的扇形和线性配置的高炮群作战效能进行了仿真分析,结果表明在火控雷达组网模式下,高炮群整体探测范围增大,作战反应时间延长,提高了部队作战效能。     

基于椭球模型的雷达/ESM联合定位算法

为了减少作战过程中雷达的开机时间,采用了ESM辅助的方法。在雷达关机条件下,利用多平台ESM对目标进行定位;当雷达开机时,采用雷达/ESM联合定位。本文首先分析了基于椭球模型的多平台ESM交叉定位算法,其次分析了雷达/ESM联合定位算法。通过仿真实验分析,这两种算法具有很高的定位精度;并分析了测量误差对定位精度的影响。该算法具有一定的应用价值     

公安边防机动部队实施跨区增援行动的思考

公安边防机动部队成建制、成规模实施跨区增援行动是遂行边境维稳任务的重要行动样式,也是当前公安边防机动部队实战能力建设的重大课题。分析了公安边防机动部队实施跨区增援的影响和制约因素,从战备工作、指挥协调、通信联络、装备建设、综合保障等方面对做好跨区增援行动进行了初步思考和研究,提出了若干建议,以期有助于当前公安边防机动部队的建设。     

谈电气火灾物证的权

借用数制领域位权的概念,分析了电气火灾现场中不同位置物证的证据力,说明电气火灾原因是由权最大的物证决定的.并得出结论：对于电流因素导致的火灾,远离电源方向物证的权较大;对于电压因素导致的火灾,电源方向物证的权较大.为电气火灾现场勘验和物证提取提供参考.     

考虑目标微多普勒频移的反导雷达配置模型

针对采用微多普勒频移识别目标的反导雷达,对其配置问题进行研究,以便更好地发挥其目标识别能力。首先,利用雷达性能参数,计算出要探测某一弹道时的雷达可配置区;其次,分析目标微多普勒频移对目标识别可能性的影响,以雷达覆盖区和高概率识别区的最大化为目标建立雷达的配置模型;最后,通过仿真分析发现通过调节雷达覆盖区与高概率识别区的权重,可以得到针对不同作战需求时的雷达配置方案。     

机载雷达功率管理建模与仿真

分析了截获形成的条件,给出功率管理建模的4步通用流程,并得出影响功率管理策略的2个因素:雷达体制和目标类型。结合技战术环境及应用背景,对雷达的几种主要体制和目标类型进行组合,选取出4种典型的工作模式,分别建立功率管理数学模型。最后设定2种典型作战场景进行功率管理仿真。仿真结果证明了所建立的功率管理模型的准确性和有效性。     

微波雷达海杂波混沌特性分析

随着非线性学科的发展,混沌科学受到各个学科领域的广泛重视,海杂波的混沌特性吸引越来越多的科研人员开始探索混沌理论在雷达系统中的应用。介绍了混沌理论的起源和发展趋势,简要阐述了混沌定义,给出了混沌的奇异吸引子、相图与Poincare截面、相关维及Lyapunov指数等基本特性,并基于混沌时间序列的关联积分C-C法、相空间重构法及小数据量法等混沌特性研究方法,对微波雷达实际采集的海杂波数据进行了混沌特性分析,分析结果表明,微波雷达海杂波数据具有混沌特征。     

Sequential learning versus no learning in Bayesian regression models

We consider two regression models: linear and logistic. The dependent variable is observed periodically and in each period a Bayesian formulation is used to generate updated forecasts of the dependent variable as new data is observed. One would expect that including new data in the Bayesian updates results in improved forecasts over not including the new data. Our findings indicate that this is not always true. We show there exists a subset of the independent variable space that we call the “region of no learning.” If the independent variable values for a given period in the future are in this region, then the forecast does not change with any new data. Moreover, if the independent variable values are in a neighborhood of the region of no learning, then there may be little benefit to wait for the new data and update the forecast. We propose a statistical approach to characterize this neighborhood which we call the “region of little learning.” Our results provide insights into the trade‐offs that exist in situations when the decision maker has an incentive to make an early decision based on an early forecast versus waiting to make a later decision based on an updated forecast. © 2014 Wiley Periodicals, Inc. Naval Research Logistics 61: 532–548, 2014     

The sixteenth-century antecedents of special operations ‘small war’

The first conceptual, theoretical treatises about small war (la petite guerre) as special operations appeared only from the middle of the seventeenth century. The term is not used in the eighteenth-century sense of ‘special operations’ in older sources. The supposed absence of any treatment of the subject is surprising considering the obsession with the ‘art of war’ in the Renaissance, but other authors attribute it to a supposed antinomy between chivalric ideals and irregular warfare. But the absence of explicit manuals on the subject is not evidence of absence of advanced reflection on this kind of operations in the Middle Ages and in Early Modern times. We should thus look elsewhere, in other genres, for writings that contain and pass on military knowledge. Epics, romances, educational and military treatises, and memoirs in fact contain elements of a theory of special operations, even though these genres differ from our conception of rationality inherited from the Enlightenment.