电子装备故障诊断训练中虚拟仪器仿真及应用

在虚拟的环境下，为实现电子装备故障诊断训练，根据GL Studio仪器仪表仿真软件建模形象逼真、速度快、效率高、生成代码可读性好等特点，提出使用GL Studio对装备面板和检测设备进行建模和仿真，使得受训人员能够与虚拟设备进行交互，取得了良好的训练效果，实现了故障诊断训练．     

基于串口通信的虚拟仪表实时显示技术

通过对虚拟仪表技术的研究,利用VC6.0多线程编程实现串口通信,对串口接收到的数据帧进行快速处理和存储,保证了数据的完整性、最新性、准确以及处理过程的快速性,并且通过对GL Studio虚拟仪表动态链接库DLL文件外部接口的设计,实现GL Studio虚拟仪表嵌入VC对话框程序的功能。实验结果表明,该方法对虚拟仪表的实时精确及多功能显示方面有很大改善。     

飞行仿真系统虚拟仪表关键技术

为满足模拟飞行训练的要求,构建真实性强且支持多平台运行的虚拟仪表,对虚拟仪表系统的关键技术进行研讨.基于Visual Studio 2003与GL Studio平台,在现有传统仪表的基础上,分别对虚拟仪表的按钮控件和计时器系统进行设计,通过设立缓存对象使主控送数与人工送数功能同时运行,给出参数处理逻辑算法,根据需求设置系统的修改功能,并通过构建数字仪表进行算法验证.经验证数字仪表运行状况良好,上述功能基本得到实现,运行结果证明了上述关键技术的有效性.     

GL Studio与Vega Prime在某舰炮虚拟训练仿真系统中的应用

采用虚拟现实技术对舰炮操作人员进行训练是一种经济,高效的方法.针对某型舰炮系统结构庞大,操作显示界面复杂的特点,选择具有组件复用性,界面真实感强,开发周期短的GL Studio软件来开发该型舰炮虚拟训练仿真系统.分别采用3DSMax和GL Studio建模工具建立舱室模型和控制台面板模型,利用Vega Prime进行场景驱动,实现了GL Studio模型向Vega Prime场景移植和场景模型间的交互控制,为操作人员提供了良好的虚拟操作环境.     

美国海军空陆特遣部队(MAGTF)战术作战仿真(MTWS)

介绍了90年代初美国海军陆战术战术作战仿真的原理、演示规模、功能及软硬件概况，虽然文中对分布仿真体系和交互仿真中的难点－集合级仿真的实现未作深入介绍，但它对于作战仿真需求分析和顶层设计仍有较大参考价值。该文作者是美国目视仿真计算机实验室军事演习系统和战术作战仿真计划软件工程负责人，具有20多年从事海军和海军陆战队指挥，控制、通信和作战行动的分析及仿真经验，且专门研究有关地面作战和伤亡／损失评估的建模。     

面向人为干预的作战计划仿真相关问题研究

将人在回路应用到作战计划仿真中，可达到深入分析问题的目的。从作战计划仿真引入人为干预的需求入手，在介绍作战计划仿真流程基础上，对仿真中的可干预内容进行分析，分别对不同类型的干预内容进行详细阐述，借鉴程序调试中的断点概念设计不同时机下的人为干预操作方式，描述加入人为干预后的仿真运行过程。结果表明：该研究能调整作战计划仿真中的事件及事件处理参数，为人为干预在作战计划仿真中的应用提供方法。     

飞行仿真中的多微处理机系统

飞行仿真是当今飞行器发展研制中不可缺少的一环。多微处理机系统也日趋成熟,本文对多微处理机的系统结构及其在仿真中的应用加以介绍和探讨。     

某型弹道导弹自由段飞行弹道仿真

利用OpenGL三维图形实时交互技术，在VC＋＋中编程，实现了不同输入条件下的导弹自由段飞行弹道与飞行姿态仿真，包括导弹建模、以及由云彩绘制和流动效果组成的云彩的建模。     

AMESim软件在气动伺服系统仿真中的应用

介绍了工程系统仿真高级建模环境(Advanced Modeling Environment for Performing Simula- tion of Engineenng Systems,AMESim)软件及其特点,在此基础上分别用传统的MATLAB软件和AMESim软件建立了气动伺服系统的模型,通过仿真分析其动态性能并比较两者的优缺点。结果表明,传统仿真软件MATLAB具有强大的数据处理能力,仿真迅速方便。AMESim软件在气动伺服系统动态仿真中有模型更加准确,图形显示方便,参数调节简单的优点,能较好地解决气动伺服系统的动态性能分析问题。     

武器装备建模仿真体系结构及其构建策略

采用建模仿真方法对武器系统实施全寿命、全方位、全系统的管理，是武器装备研制、采办、训练必不可少的环节和发展方向。文章简要概述了武器系统建模仿真的标准及发展现状，并从顶层设计的高度描述了HLA及其在武器系统仿真中的关键技术。最后提出了发展我军武器装备仿真系统的构建策略和发展建议。     

Stability of the Third Generation Intensifier under Illumination

The stability under illumination of transmission-mode GaAs photocathode sealed in the third generation intensifier is investigated by use of spectral response testing instruments. The variations of spectral response with the illumination times under weak and intense illumination are compared. The variations of photoemission performance parameters are also characterized. The results show that during initial several weak illuminations photocathode behaves no evident decay and a maximum sensitivity is achieved, while under intense illumination the sensitivity of photocathode begin to decrease largely at the first illumination. The calculated performance parameters show that the variation of surface escape probability with illumination times is a direct cause of instability of photocathode. It is also found that under intense illumination peak wavelength is moved towards short-wave and peak response is decreased, which shows that the ability of long-wave response of photocathode is decreased.     

Passive Acoustic Radar for Detecting Supersonic Cruise Missile

A Passive Acoustic Radar is presented as a necessary complement to electromagnetic wave radar, which will be expected to be an effective means for detecting cruise missiles. Acoustic characteristics of supersonic flying projectiles with diverse shapes are expounded via experiment. It is pointed out that simulation experiment could be implemented using bullet or shell instead of cruise missile. Based on theoretical analysis and experiment, the ““acoustic fingerprint““ character of cruise missile is illustrated to identify it in a strong noise environment. After establishing a locating mathematical model, the technique of acoustic embattling is utilized to resolve a problem of confirming the time of early-warning, considering the fact that velocity of sound is much slower than that of light. Thereby, a whole system of passive acoustic radar for detecting supersonic cruise missile is formed.     

Design and Analysis of Test Schemes of Static Postponing Time on Shrapnels Used to Riot Control

The test scheme of static postponing time given in our actual national military test standard on shrapnels used to control riot is a nine-point test scheme on the combined action of three kinds of temperatures and three kinds of pressures,the consumed ammunitions are more excessive. Statistic analysis and tentative checkout about a lot of test data are done,feasibility gists are put forward for optimizing of the test design scheme. The optimizing design and data analysis of test scheme of the item are done by managing uniformity design theory, two scientific and reasonable six-point test schemes are confirmed. The feasibility and reliability of the optimizing design schemes put forward above are proved ulteriorly by test validating. The gained schemes not only have good design uniformity and little ammunition wastage and meet the test demand, but also have better forecast ability for the result data of other points using the mathematic models from the actual test points.     

Super-resolution Restoration of Remote-sensing Images

A novel image restoration scheme, which is super-resolution image restoration algorithm Poisson-maximum-afterword-probability based on Markvo constraint （MPMAP） combined with evaluating image detail parameter D, has been proposed. The advantage of super-resolution algorithm MPMAP incorporated with parameter D lies in the fact that superresolution algorithm MPMAP model is discrete, which is in accordance with remote-sensing imaging model, and the algorithm MPMAP is proved applicable to linear and non-linear imaging models with a unique solution when noise is not severe. According to simulation experiments for practical images, super-resolution algorithm MPMAP can retain image details better than most of traditional restoration methods; at the same time, the proposed parameter D can help to identify real point spread function （PSF） value of degradation process. Processing result of practical remote-sensing images by MPMAP combined with parameter D are given, it illustrates that MPMAP restoration scheme combined PSF estimation has a better restoration result than that of Photoshop processing, based on the same original images. It is proved that the proposed scheme is helpful to offset the lack of resolution of the original remote-sensing images and has its extensive application foreground.     

Design and Simulation of TF and TA Controller for Missile

A nonlinear terrain following(TF) and terrain avoidance(TA) controller is proposed for missile control systems. Based on classical TF algorithm (adaptive angle method), a new method for TF controller is proposed by using angle of attack. A method of obtaining terrain outline data from digital elevation map (DEM) for TF control is discussed in order to save store space. A TA algorithm is proposed by using bank-to-turn technique. The block control model, which is suitable for backstepping design, is given for nonlinear model of missile. Making full use of the characteristics of the system and combining block control principle and backstepping technique, a robust controller design method is proposed. Uncertainties in every sub-block are allowed, and can be canceled by using the idea of nonlinear damping. It is proved that the state tracking errors are converged to a neighborhood of the origin exponentially. Finally, nonlinear six-degree-of-freedom simulation results for the missile model are presented to demonstrate the effectiveness of the proposed control law.     

Design of Non-fragile Satisfactory Estimator for Linear Continuous Perturbed Stochastic Systems

The design problem of non-fragile estimator is addressed for a class of perturbed linear continuous systems. The perturbations occur on the plant and estimator parameters. The estimator designed should force the error system to achieve the desired decay rate and force the steady error variance less than the specified upper bound irrdevancy of the admissible plant perturbations and estimator perturbations. Consistency problem of the decay rate with the variance upper bound is first considered via linear matrix inequality （LMI） approach. The solution of the estimator parameter under specifications to be consistent is then discussed. The consistency condition of specifications and estimator parameter solution are transformed to feasible or minimum problems subject to a set of LMI respectively. The method is illustrated by a numerical example.     

An Improved Scene-based Nonuniformity Correction Algorithm for Infrared Focal Plane Arrays Using Neural Networks

The improved scene-based adaptive nonuniformity correction （NUC） algorithms using a neural network （NNT） approach for infrared image sequences are presented and analyzed. The retlna-like neural networks using steepest descent model was the first proposed infrared focal plane arrays （IRFPA） nonuniformity compensation method, which can perform parameter estimation of the sensors over time on a frame by frame basis. To increase the strength and the robustness of the NNT algorithm and to avoid the presence of ghosting artifacts, some optimization techniques, including momentum term, regularization factor and adaptive learning rate, were executed in the parameter learning process. In this paper, the local median filtering result of Xij （ n ） is proposed as an alternative value of desired network output of neuron Xij （ n ）, denoted as Tij （ n ）, which is the local spatial average of Xij （ n ） in traditional NNT methods. Noticeably, the NUC algorithm is inter-frame adaptive in nature and does not rely on any statistical assumptions on the scene data in the image sequence. Applications of this algorithm to the simulated video sequences and real infrared data taken with PV320 show that the correction results of image sequence are better than that of using original NNT approach, especially for the short-time image sequences （several hundred frames） subjected to the dense impulse noises with a number of dead or saturated pixels.     

Piecewise Filter of Infrared Image Based on Moment Theory

The disadvantages of IR images mostly include high noise, blurry edge and so on. The characteristics make the existent smoothing methods ineffective in preserving edge, To solve this problem, a piecewise moment filter （PMF） is put forward. By using moment and piecewise linear theory, the filter can preserve edge. Based on the statistical model of random noise, a related-coefficient method is presented to estimate the variance of noise. The edge region and model are then detected by the estimated variance. The expectation of first-order derivatives is used in getting the reliable offset of edge. At last, a fast moment filter of double-stair edge model is used to gain the piecewise smoothing results and reduce the calculation. The experimental result shows that the new method has a better capability than other methods in suppressing noise and preserving edge.     

Bistatic Sonar Localization Based on Best Linear Unbiased Estimation

A best linear unbiased estimation （BLUE） algorithm for bistatic sonar localization is proposed. The Cramer-Rao bound for bistatic Sonar and the geometrical dilution of precision （GDOP） in different conditions are given. The simulation results show that the location accuracy of BLUE algorithm is higher than the weighted least square method.     

Research on Gear-broken Fault Diagnosis in a Tank Gearbox

A fault diagnosis method of working position gear in a tank gearbox is put forward based on simulating the fault of working position gear in an actual tank, extracting the envelope of vibration signal by Hilbert transformation amplitude demodulation method, and zooming the low-frequency band to envelope signal.