ARMA谱估计在导弹仿真系统数学模型验证中的应用

针对反坦克导弹系统动态过程仿真的输出具有短时序、低信噪比的特点 ,研究了应用ARMA谱估计验证导弹系统仿真模型有效性的方法 ,并结合某型号滚转稳定的反坦克导弹系统复杂模型的仿真数据和简化模型的仿真数据给出ARMA谱估计的应用结果。     

浅谈现代军事物流及其发展趋势

随着我国社会主义市场经济的蓬勃发展和世界新军事革命的兴起,我国军事物流日益引起人们的重视。同时,也面临着历史性的机遇和挑战。本文结合我国军事物流建设现状,就现代军事物流的科学内涵、地位作用、理想形态及发展趋势进行了论述,旨在为新时期军事物流的建设与发展提供理论依据。     

基于邻域灰度分布的IR弱小目标检测

图像中邻域内灰度起伏程度越大 ,各点灰度值占邻域内总灰度值的比率的平方和越大 ,由此提出了一种基于邻域灰度分布的弱小目标检测方法。同时考虑到复杂自然背景 ,特别是背景中含有大量边缘和高频点的情况 ,提出了目标检测的改进方法。最后 ,利用邻域判决法实现运动目标的进一步分离。实验表明该方法能够极大地减少候选目标点数 ,准确有效地检测复杂自然背景中的红外运动弱小目标 ,适合于实时和多目标的检测     

二维隐马氏模型的一种简化算法及其参数估计

针对现有的二维隐马氏模型算法给出了一种简化算法及参数估计方法。该算法与现有的算法相比非常简单。基于此方法给出了相应的识别方法和参数估计,并且该估计与极大似然估计是等同的。     

Estimating the probability that a simulated system will be the best

Consider a stochastic simulation experiment consisting of v independent vector replications consisting of an observation from each of k independent systems. Typical system comparisons are based on mean (long‐run) performance. However, the probability that a system will actually be the best is sometimes more relevant, and can provide a very different perspective than the systems' means. Empirically, we select one system as the best performer (i.e., it wins) on each replication. Each system has an unknown constant probability of winning on any replication and the numbers of wins for the individual systems follow a multinomial distribution. Procedures exist for selecting the system with the largest probability of being the best. This paper addresses the companion problem of estimating the probability that each system will be the best. The maximum likelihood estimators (MLEs) of the multinomial cell probabilities for a set of v vector replications across k systems are well known. We use these same v vector replications to form v^k unique vectors (termed pseudo‐replications) that contain one observation from each system and develop estimators based on AVC (All Vector Comparisons). In other words, we compare every observation from each system with every combination of observations from the remaining systems and note the best performer in each pseudo‐replication. AVC provides lower variance estimators of the probability that each system will be the best than the MLEs. We also derive confidence intervals for the AVC point estimators, present a portion of an extensive empirical evaluation and provide a realistic example. © 2002 Wiley Periodicals, Inc. Naval Research Logistics 49: 341–358, 2002; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/nav.10019     

Minimizing weighted earliness and tardiness penalties in single‐machine scheduling with idle time permitted

In this paper, a single‐machine scheduling problem with weighted earliness and tardiness penalties is considered. Idle time between two adjacent jobs is permitted and due dates of jobs could be unequal. The dominance rules are utilized to develop a relationship matrix, which allows a branch‐and‐bound algorithm to eliminate a high percentage of infeasible solutions. After combining this matrix with a branching strategy, a procedure to solve the problem is proposed. © 2002 Wiley Periodicals, Inc. Naval Research Logistics 49: 760–780, 2002; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/nav.10039     

磁悬挂天平的变结构控制

鉴于磁悬挂天平系统强烈的非线性特性及存在的多种不确定性 ,针对非匹配不确定性情况设计了变结构控制器。根据对悬浮时模型受力图的分析及其模型两端电磁力、电流和电压的平衡关系 ,并以Y轴方向受力为例 ,讨论了磁悬挂天平的非线性变结构设计过程。该设计的目的是使镇定误差趋近于 0 ,其设计步骤包括期望性能到期望力的传递、满足滑动模态可达条件的控制力到控制电压的传递、控制电压的求解。同时对设计的结果进行了仿真分析 ,仿真结果表明磁悬挂天平的变结构控制系统具有良好的动态性能     

基于RBF网络的坦克火控系统效能评价仿真

利用层次分析法提出了坦克火控系统效能评价指标体系,简要介绍了指标选取的理由。然后,采用提取原始值法和Delphi法取得了几组训练样本,并对所构造的三层RBF神经网络进行仿真训练,当训练精度达到要求后,再运用RBF神经网络对某型坦克火控系统效能进行了仿真评估。结果表明,在选定指标的基础上,用训练好的RBF神经网络评估坦克火控系统效能是合理的,减少了评估中的人为因素,使评估的结果更为可信。研究结果可为在现有武器装备的基础上开发和研制新型坦克火控系统提供理论参考。     

基于背景差的运动目标检测方法比较分析*

背景差是常用的运动目标检测方法,其基本思想是通过视频帧与背景参考图像的差分实现运动目标检测。背景差法的核心是背景模型的构造。首先介绍基于背景差的运动目标检测方法的关键步骤:预处理、背景建模、背景差分、后处理;其次介绍几种典型的单背景和多背景模型;然后利用自适应背景模型、中值滤波、卡尔曼滤波、混合高斯模型等进行运动目标检测,并从速度、存储开销、准确率等方面对这些方法进行了分析比较。实验结果表明,单背景模型具有更快的检测速度,而多背景模型的检测准确度更高。     

基于敌后侦察与诱骗博弈的远程火力打击战法*

对敌后侦察反军事诱骗的远程火力打击战法的定量分析是战役研究中尚未解决的关键问题之一,根据信息作战原理,运用仿真和统计学分析的混合方法,建立基于概率的二人非零和(TPNZS)非合作博弈模型,设计基于侦察与诱骗博弈的远程火力打击战法,定量分析我方的敌后侦察和敌方的军事诱骗对远程信息与火力联合打击能力的影响,并对一个典型实例的初步试验及分析结果表明:与敌后侦察和军事诱骗有关的正确识别目标和错误识别目标的概率以及远程火力命中目标的概率是评估远程信息与火力联合打击能力的关键,而对评估结果进行博弈分析则是远程火力打击战法设计的关键,用识别正确目标和错误目标能力以及远程火力命中目标能力描述的基于敌后侦察与诱骗博弈的远程火力最优打击战法为Δ*=(0,Δ2*,1-Δ2*)=(0.0000,0.7727,0.2273),被打击方对远程火力打击的最优战法为π*=(π1*,0,1-π1*)=(0.8511,0.0000,0.1489)。