模糊理论与D-S理论在指控系统目标识别融合中的应用

多传感器信息融合技术已获得了普遍的关注和广泛的应用,其理论和方法已成为智能信息处理的一个重要领域,模糊理论与证据理论(D-S)是主要的技术之一.在某试飞指控系统中,为了获得可靠的识别结果需要目标识别的融合问题.系统的从实际出发提出了基于模糊理论与D-S理论的目标识别融合方法.仿真计算结果表明,该模型和方法具有方法简单、运算量小和识别结果可靠等优点,具有一定的理论意义和使用价值.     

操纵手考核成果的操纵手模型参数辨识

以半自动跟踪的人机系统为研究对象,从工程实际中提取了描述操纵手操控水平的指标集:静态灵敏度、平均超差度及平均超差频率指标,并依据这些指标的考核结果,构建了一种操纵手数学模型的辨识方法.最后由靶场试验数据辨识了相应的模型参数,从而验证了该方法的可行性.     

图像质量主客观评价的相关性分析

图像质量的客观评价与人类主观感知之间一定存在必然的联系,并且这些客观评价方法应该取代主观评价。也就是说,这些客观评价方法允许在不征求任何用户意见的基础上,去评价一个给定系统的性能。本文研究了在变化的压缩体制下实施在若干图像上的一套客观测量和主观评价之间的相互关系,并给出了初步的分析结果。     

北斗RDSS系统新体制信号子载波间干扰产生机理与消除方法

为提高新一代北斗无线电测定卫星服务在有限带宽内的信息服务容量,借鉴了正交频分复用的理念,新体制无线电测定卫星服务信号设计采用多个子载波进行信号调制。以往针对多用户的分析主要考虑多址干扰,对载波频偏损耗和伪码损耗单独考虑,这不能解释新体制调制在相同的同步头的情况下其他子载波上信号在当前观测子载波上形成较大相关峰的问题,该问题对信号接收产生较大干扰。本文对该问题产生机理进行了分析,并提出了两种相关干扰的消除方法。     

基于参数辨识的电动舵机系统健康仿真和评估

针对目前电动舵机系统故障诊断方法不能有效预测缓变故障,提出基于舵机系统模型的状态变量检测法对飞行器常用的执行机构电动舵机系统进行健康分析与仿真评估。分析电动舵机系统子系统电机本体、控制器、传动机构的常见故障,对其中反映系统性能的关键参数进行数学建模;通过对系统注入不同的健康参数得到相关故障状态下的状态变量特征,进而作为定位故障源的知识库,引入健康因子评估故障参数的变化趋势;仿真算例选择电机本体的主要物理参数电机绕组阻值和反映永磁体性能的电机力矩常数作为健康因子,通过定位知识库建立的健康因子评估算法验证了方法的可行性。     

一种基于灰关联分析的QoS服务选择方法

随着网络中可供选择QoS服务日益增多,在用户请求服务时,为了确保用户获得满足其功能与QoS要求的服务,提出了一种基于灰关联分析的QoS服务选择方法,根据用户对网络服务的QoS需求估计各项QoS指标的主观权重,以用户的偏好感知作为服务选择的约束条件;基于候选服务集合构建候选服务决策矩阵,采用灰关联分析方法从中获得用户QoS满意度最高的服务。仿真和分析表明,该服务选择策略能为服务质量敏感的用户提供有效的满足QoS需求的服务方案。     

Multivariate meta analysis with potentially correlated marketing study results

A univariate meta analysis is often used to summarize various study results on the same research hypothesis concerning an effect of interest. When several marketing studies produce sets of more than one effect, multivariate meta analysis can be conducted. Problems one might have with such a multivariate meta analysis are: (1) Several effects estimated in one model could be correlated to each other but their correlation is seldom published and (2) an estimated effect in one model could be correlated to the corresponding effect in the other model due to similar model specification or the data set partly shared, but their correlation is not known. Situations like (2) happen often in military recruiting studies. We employ a Monte‐Carlo simulation to evaluate how neglecting such potential correlation affects the result of a multivariate meta analysis in terms of Type I, Type II errors, and MSE. Simulation results indicate that such effect is not significant. What matters is rather the size of the variance component due to random error in multivariate effects. © 2000 John Wiley & Sons, Inc. Naval Research Logistics 47: 500–510, 2000.     

基于HHM的军事演习风险识别

军事演习风险对军事演习的安全顺利进行有很大的影响。有效控制演习风险,首先需要全面、系统地识别出军事演习中存在的风险因素。本文在给出军事演习风险定义的基础上,运用等级全息模型(hierarchical holographic modeling,HHM)~([1])的思想和方法建立HHM风险识别模型,对军事演习中存在的风险进行分析和识别,有助于提升军事演习风险识别的准确性和全面性,为军事演习风险的评估和控制打下坚实的基础,对军事演习的安全进行和军事训练水平的提升具有重要意义。     

Statistical Analysis as an Adjunct to Historical Research: Identification of the Likely Manufacturers of British Pattern 1907 Bayonets Supplied by the Birmingham Small Arms Company to the Siamese Government in 1920

In 1920, the Birmingham Small Arms Company supplied 10,000 Pattern 1907 bayonets to the government of Siam to accompany an order for rifles. The original maker of these bayonets was unknown, but historical research indicates that the Wilkinson Sword Co. Ltd. was a primary maker. The weights of some surviving Pattern 1907 bayonets, including twelve bayonets from the 10,000 described above, produced by the six makers in the UK before and during the Great War (1914–1918) period were available. A statistical analysis of the data was performed to compare with the historical research. The results strongly supported that the Wilkinson Sword Co. Ltd. was a primary maker. They were also sufficient to exclude from this batch of twelve bayonets the Royal Small Arms Factory (Enfield) and Vickers Ltd. as manufacturers. The statistical evidence for the presence of bayonets made by J.A. Chapman Ltd., R. Mole & Sons and Sanderson Bros. was weaker than that for the Wilkinson Sword Co. Ltd., but was nevertheless supportive of that hypothesis. Overall, the analysis was consistent with the supply to Siam of commingled bayonets from British government stores. It was noted that the bayonets for the Siam contract fell into a relatively narrow weight range, but the reason for this could not be determined.     

基于系统辨识的雷击浪涌注入效应仿真

为探索系统辨识方法在电磁脉冲注入效应仿真领域的适用性,使用三端稳压电源进行雷击浪涌注入实验,分别采集注入的雷击浪涌电压和三端稳压电源的响应电压。对采集的数据运用dh系列小波降噪,进行去除趋势项预处理。选用ARX模型,利用最小二乘法进行参数辨识。根据所得模型预测在不同浪涌电压下三端稳压电源的响应电压,并与实际电压进行对比。计算结果表明,基于系统辨识的方法得到了满意的能量耦合模型,较好的预测了三端稳压电源的响应电压。