基于位置预测的靶场图像实时判读方法

在靶场经纬仪对目标实时跟踪测量时,会发生相机随机抖动的情况,引起目标在图像中大幅度运动。应对大幅度运动时,基于搜索窗口的跟踪方法容易丢失目标,而基于全图搜索的跟踪方法时效性差。针对以上问题,提出一种结合核相关滤波算法(Kernelized Correlation Filter, KCF)和目标位置预测的改进的跟踪学习检测算法(Tracking-Learning-Detection, TLD)跟踪框架。利用正交多项式最优线性滤波器及相机角度信息预测目标下一帧位置,在此区域利用KCF进行快速跟踪,可以提高跟踪的成功率和时效性,跟踪失败时再进行检测。仿真实验表明,最优线性滤波器能较准确预测目标位置,给KCF提供较准确的搜索位置,算法每帧耗时仅为1.1 ms,且定位精度优于TLD和KCF,能有效应对相机抖动的问题。靶场实际试验证明该方法可提高靶场自动判读水平,减少人工干预。     

一种α稳定分布噪声下的跳频参数盲估计方法

针对目前以高斯白噪声为模型的大部分跳频参数估计方法在α稳定分布噪声背景下,性能急剧下降的缺点,对跳频信号进行两次窗函数长短不同的分数低阶STFT,从而得到两组时频数据,,将两组时频数据点乘,得到新的时频表示,基于时频分析的跳频参数估计方法,实现跳频参数的估计。仿真实验表明,提出的方法有效抑制了α噪声,在α=0.8,GSNR≥1 d B;α=1.5,GSNR≥0 d B时,可以实现跳频周期的准确估计。在α=1.5,GSNR=3 d B时,该算法跳变时刻估计值最大相对误差比STFT低3%、比分数低阶STFT低1.6%,跳变频率估计值更加精确。     

班组遥控武器站模糊自适应滑模位置控制器设计

针对班组遥控武器站位置伺服系统发射冲击力矩大、负载变化范围广和伺服精度要求高等特点,提出了一种模糊调节的位置伺服系统滑模控制策略。该策略选用了一种新型的带有积分的滑模面,模糊调节部分采用单输入双输出的结构,应用模糊规则调节新型快速终端滑模型趋近速率来削弱滑模抖振。分别进行了常值负载干扰、系统参数摄动、时变负载干扰和跟踪误差仿真实验。仿真实验表明,该控制策略的稳定性和伺服跟踪性很好,对参数摄动和负载干扰的鲁棒性很强。     

激光对抗系统在轻武器实战化训练中的应用

轻武器作战作为特种作战方式的一种,在现代战争中的地位越来越突出。本文阐述了轻武器实战化训练的短板和弱项,提出一种轻武器激光对抗系统,介绍了系统的主要构成和工作原理,并对激光对抗系统在轻武器实战化训练上展开研究。研究表明,采用激光对抗系统辅助训练能从强化轻武器基础训练效果、提升训练对抗意识、提高战斗员维稳处突能力及强化射击能力等几方面有效提高轻武器基础训练成绩和战术训练水平,为改进轻武器实战化训练提供了理论和技术支撑。     

我国光电火控系统亟待解决的问题

介绍了光电跟踪器的优点 ,分析了我国目前光电跟踪器的现状 ,从装备发展的角度指出了光电跟踪器及光电火控系统亟待解决的科研课题     

驱护舰编队舰空导弹反导能力探讨

根据驱护舰编队反导队形的配置和舰空导弹的战术技术性能 ,对驱护舰编队多舰协同反导能力进行分析 ,计算来袭目标处于不同舷角时的协同反导区域大小和协同反导时间 [1 ] 。     

一种提高细微粒卤化银乳剂照相性能的过增感剂

利用单注法制备了平均粒径 16 5nm的卤化银乳剂 ,在此乳剂中试验了一种过增感剂Zn(Ⅱ ) -EDTA的增感作用。试验表明经过Zn(Ⅱ ) -EDTA增感的超微粒卤化银乳 ,其感光度、反差和灰雾密度等照相性能都有显著的提高。同时讨论了过增感剂的最佳加入时间、最佳用量、最佳浓度等参数 ,并且对增感作用机理作了初步的分析探讨。     

Designing a screening experiment for highly reliable products

Within a reasonable life‐testing time, how to improve the reliability of highly reliable products is one of the great challenges to today's manufacturers. By using a resolution III experiment together with degradation test, Tseng, Hamada, and Chiao (1995) presented an interesting case study of improving the reliability of fluorescent lamps. However, in conducting such an experiment, they did not address the problem of how to choose the optimal settings of variables, such as sample size, inspection frequency, and termination time for each run, which are influential to the correct identification of significant factors and the experimental cost. Assuming that the product's degradation paths satisfy Wiener processes, this paper proposes a systematic approach to the aforementioned problem. First, an intuitively appealing identification rule is proposed. Next, under the constraints of a minimum probability of correct decision and a maximum probability of incorrect decision of the proposed identification rule, the optimum test plan (including the determinations of inspection frequency, sample size, and termination time for each run) can be obtained by minimizing the total experimental cost. An example is provided to illustrate the proposed method. © 2002 Wiley Periodicals, Inc. Naval Research Logistics 49: 514–526, 2002; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/nav.10024     

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     

一种从二维照片反求三维CAD模型的稳健方法

研究了从物体二维照片重构其三维CAD模型的算法。通过物体在不同方位的一组照片 ,选取一定数量的配准点 ,该算法能够计算出照相机的运动参数 ,进而得到物体表面的 3D几何信息及CAD模型。算法充分考虑到了CAD建模的可制造性约束 ,具有精确、稳健的特点 ,在逆向工程建模、计算机视觉、机器人领域有应用前景。