高动态GNSS信号多普勒模拟任意阶DDS合成器设计*

为高精度模拟高动态条件下GNSS信号的多普勒特性,本文提出一种任意阶DDS信号合成器的设计方法。设计了任意阶DDS信号合成器的结构;通过理论分析,推导了各级累加器相位初值的计算公式;给出了字长选择方法;经仿真与验证,该方法能精确模拟GNSS信号的多普勒特性。此外,本文提出的DDS设计方法不受阶数的限制,可普遍应用于各类信号模拟器的设计。     

WENO格式权重分析与改进

为了优化WENO格式计算性能,在对Jiang和Shu的经典WENO格式(记为WENO-JS)加权方法分析的基础上,通过引入间接光滑指数,构造出一种新的WENO格式——WENO-E格式,取得减小间断区耗散的效果。理论分析表明,该格式与WENO-JS格式计算效率基本相同,可达到相同阶的计算精度;但在相同网格下,较之WENO-JS格式,该格式对光滑区域的求解有更小的截断误差,对间断的捕捉有更高的分辨率。与WENO-JS格式相比,采用WENO-E格式进行线性迁移方程、非线性Burgers方程、欧拉方程等相关问题的数值实验,均能取得更好的数值结果。     

连续波强激光武器的动态毁伤概率数学模型

在强激光武器的跟踪误差为均方可导、各态历经、零均值的正态过程的条件下,通过明晰的物理概念与严谨的数理演绎,导出了它的动态毁伤概率的级数表达式。通过算例探讨了动态毁伤概率的性质:它存在两个极大值所对应的随机穿越的自然频率,当跟踪系统工作在其中的非零频率上时,更具有快速反应能力;展现了跟踪误差的传递函数与动态毁伤概率间的定量关系。为论证、设计、检验强激光武器系统的动态毁伤概率提供了理论依据与技术支持。     

连续波强激光武器动态毁伤概率的非毁检测法

给出一种强激光武器与目标存在相对运动时的毁伤概率(动态毁伤概率)在非致毁条件下的检测方法。该方法是在已知强激光对目标的致毁时间、一次发射时间的基础上,在武器的跟瞄子系统对目标无毁的跟踪试验中,通过检测跟踪误差在射击门内外交替出现的时间间隔,给出动态毁伤概率的点估计,以及在既定置信度下,动态毁伤概率的置信区间,同时还能判断所测毁伤概率是否处于最佳状态,为进一步优化动态毁伤概率提供依据。     

地波雷达组网探测高空目标优化布站

针对高空无人机等目标,建立基于高频地波雷达为主的2D雷达探测网,以目标高度估计和协同补盲为约束条件,对2D雷达网的优化布站问题进行理论计算和实例仿真,实验结果证明布站方法的有效性。     

伊犁哈萨克族“民考民”和“民考汉”中学生语言文字使用情况调研--以特克斯县初级中学为个案

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高海情对反导舰炮命中概率的影响

根据某型反导舰炮配装的舰船摇摆特性及海浪运动数学模型,首先模拟得到高海情舰船摇摆趋势图;然后分析了高海情对反导舰炮射击诸元的影响;其次,采用变换抽样法在高海情射击诸元变化范围内随机产生方位角和高低角增量,通过解6自由度弹道方程计算方位角和高低角增量概率误差,再根据概率误差解算高海情条件下系统的命中概率;最后,对大量的仿真计算结果进行统计分析,得出了具有实用价值的结论,为靶场试验及系统精度设计提供参考。     

全垫升式气垫船水压场数值模拟

提出了任意分布的气垫压力所产生的水压场的计算方法 ,对椭圆域上均匀分布的气垫压力产生的水压场进行了数值模拟 ,并将计算结果与实验进行了比较 .结果表明 ,用数值模拟的方法研究全垫升式气垫船水压场是可行的     

试论静止液体对容器的压力

以圆台型容器为例 ,定量分析讨论了容器器壁所受到的压力和容器内液体所受到的重力两者之间的数量关系     

Balancing and optimizing a portfolio of R&D projects

A mathematical formulation of an optimization model designed to select projects for inclusion in an R&D portfolio, subject to a wide variety of constraints (e.g., capital, headcount, strategic intent, etc.), is presented. The model is similar to others that have previously appeared in the literature and is in the form of a mixed integer programming (MIP) problem known as the multidimensional knapsack problem. Exact solution of such problems is generally difficult, but can be accomplished in reasonable time using specialized algorithms. The main contribution of this paper is an examination of two important issues related to formulation of project selection models such as the one presented here. If partial funding and implementation of projects is allowed, the resulting formulation is a linear programming (LP) problem which can be solved quite easily. Several plausible assumptions about how partial funding impacts project value are presented. In general, our examples suggest that the problem might best be formulated as a nonlinear programming (NLP) problem, but that there is a need for further research to determine an appropriate expression for the value of a partially funded project. In light of that gap in the current body of knowledge and for practical reasons, the LP relaxation of this model is preferred. The LP relaxation can be implemented in a spreadsheet (even for relatively large problems) and gives reasonable results when applied to a test problem based on GM's R&D project selection process. There has been much discussion in the literature on the topic of assigning a quantitative measure of value to each project. Although many alternatives are suggested, no one way is universally accepted as the preferred way. There does seem to be general agreement that all of the proposed methods are subject to considerable uncertainty. A systematic way to examine the sensitivity of project selection decisions to variations in the measure of value is developed. It is shown that the solution for the illustrative problem is reasonably robust to rather large variations in the measure of value. We cannot, however, conclude that this would be the case in general. © 2001 John Wiley & Sons, Inc. Naval Research Logistics 48: 18–40, 2001