离散小波改进算法在机动车辆换挡信号降噪中的应用

针对机动车辆换挡信号中存在大量强电磁及环境振动噪声的问题,同时考虑到实时性和硬件实现性能的需求,基于最小带宽离散小波算法,提出了简化的、适用于工程实现的小波分解层数确定方法;然后利用初始阈值对各层小波系数进行分类,利用各层中各类系数均值差的模及均方差为依据,设计了各层阈值的自适应迭代确定算法,同时改进了阈值的量化函数。仿真对比试验和应用测试结果表明,该算法具有较好的降噪效果,适用于机动车辆的相关信号检测与降噪。     

Non‐zero‐sum nonlinear network path interdiction with an application to inspection in terror networks

A simultaneous non‐zero‐sum game is modeled to extend the classical network interdiction problem. In this model, an interdictor (e.g., an enforcement agent) decides how much of an inspection resource to spend along each arc in the network to capture a smuggler. The smuggler (randomly) selects a commodity to smuggle—a source and destination pair of nodes, and also a corresponding path for traveling between the given pair of nodes. This model is motivated by a terrorist organization that can mobilize its human, financial, or weapon resources to carry out an attack at one of several potential target destinations. The probability of evading each of the network arcs nonlinearly decreases in the amount of resource that the interdictor spends on its inspection. We show that under reasonable assumptions with respect to the evasion probability functions, (approximate) Nash equilibria of this game can be determined in polynomial time; depending on whether the evasion functions are exponential or general logarithmically‐convex functions, exact Nash equilibria or approximate Nash equilibria, respectively, are computed. © 2017 Wiley Periodicals, Inc. Naval Research Logistics 64: 139–153, 2017     

数字化战场的视频传输初探

通过分析数字化战场对视频信息传输的需要,结合数字视频信息传输的关键技术,指出在装甲数字化部队的战场信息传物系统中,应在窄带传输的基础上发展宽带传输,采用以数字微波扩频通信系统为主的无线通信来保中数字化战场的视频传输.     

基于微分对策理论的信息战模型

基于兰彻斯特作战理论,提出了一个新的微分对策模型来研究在交战双方均有信息战系统协助作战的条件下的最优火力分配策略。又运用微分对策理论对该模型进行分析和求解,并对所得到的结论作出符合战术意义的解释。     

相依目标群状态转移概率矩阵的特性及其应用

本文对相依目标群的状态转移概率矩阵的性质进行了深入的分析,得到了若干重要结论,并在此基础上讨论了相依目标群系统的火力分配模型     

多体存贮器有效频带分析

本文以排队论为工具建立了紧耦合多处理机系统存贮器的排队模型。通过对存贮体忙期的分析,得出了存贮器有效频带的解析表达式,研究了在保证存贮器有效频带最大的情况下,处理机的访存请求率λ、存贮体的服务率μ和存贮体数m 三者之间的关系。     

遗传算法及其在导弹火力分配上的应用

遗传算法是一种近年来新发展起来的优化算法,目前它已被广泛应用于解决许多实际问题,如函数优化、图像识别、机器学习、人工神经网络、人工生命、优化调度等许多领域。通过对一种遗传算法的研究,阐述其在导弹武器火力分配上的应用。首先设计和实现了一种遗传算法;然后描述了导弹火力分配优化问题,建立了其数学模型;最后运用遗传算法求解了该问题。     

坦克分队在进攻战斗中的最佳火力分配

运用兰切斯特方程和极值理论就坦克分队在进攻战斗中如何分配火力及使火力分配最佳进行了研究。给出了最佳方案的计算方法     

Bi‐objective missile rescheduling for a naval task group with dynamic disruptions

This paper considers the rescheduling of surface‐to‐air missiles (SAMs) for a naval task group (TG), where a set of SAMs have already been scheduled to intercept a set of anti‐ship missiles (ASMs). In missile defense, the initial engagement schedule is developed according to the initial state of the defensive and attacking units. However, unforeseen events may arise during the engagement, creating a dynamic environment to be handled, and making the initial schedule infeasible or inefficient. In this study, the initial engagement schedule of a TG is assumed to be disrupted by the occurrence of a destroyed ASM, the breakdown of a SAM system, or an incoming new target ASM. To produce an updated schedule, a new biobjective mathematical model is formulated that maximizes the no‐leaker probability value for the TG and minimizes the total deviation from the initial schedule. With the problem shown to be NP‐hard, some special cases are presented that can be solved in polynomial time. We solve small size problems by the augmented ? ‐ constraint method and propose heuristic procedures to generate a set of nondominated solutions for larger problems. The results are presented for different size problems and the total effectiveness of the model is evaluated.     

SpaceWire网络热点通信模式的缓存资源分配算法

基于SpaceWire网络在热点通信模式下的工作特点,研究缓存资源的分配算法。给出均匀通信模式和热点通信模式的释义;推导网络路由节点的满负荷概率和平均延时的解析方法,计算网络中的关键通信节点;再给出SpaceWire网络缓存资源分配算法。利用Opnet网络仿真平台建立SpaceWire通信模型,仿真了不同通信模式中采用缓存优化策略前后的关键性能指标。研究结果表明:在热点通信模式状态下,该缓存资源分配算法在保证总资源一定的前提下,网络系统的平均延时降低,优化了SpaceWire网络性能。