潜基弹道导弹模拟打靶技术研究

针对潜基弹道导弹模拟打靶技术应用问题,从流程、建模、系统设计方法几个方面进行了全面研究和阐述。运用统计分析、力学建模等方法建立了潜基弹道导弹仿真运动模型和误差模型;运用UML建模技术从需求分析、系统结构以及系统交互过程3个方面对潜基弹道导弹模拟打靶系统进行了建模设计,构建了系统需求描述的UML模型,通过分解用例模型,分析系统的类结构体系及关联关系建立了系统结构模型,运用顺序图构建了系统行为描述模型。工程应用实例表明,该技术具有工程实用性、复用性及拓展性。     

基于Web Service的潜艇作战仿真平台框架研究

构建了潜艇作战仿真模型体系结构，阐述了各类模型的组成及所能完成的功能．介绍了Web Service技术，分析了仿真平台的功能需求，并根据设计要求对装备模型资源进行了分解，提出了仿真平台集成框架的技术实现方法，可提高模型的重用性，缩短系统开发应用周期．     

弹道导弹攻防仿真系统设计及实现

针对典型弹道导弹攻防对抗过程，在建模仿真基础上应用可视化建模和面向对象技术，通过用例模型、实体结构模型和行为模型分析了弹道导弹攻防仿真系统的构成、功能和运行流程．基于多武器系统混合柔性建模、多线程运行和试验动态配置、复杂系统数据库管理等关键技术，建立了实用的弹道导弹攻防仿真系统。     

任务级仿真弹道导弹通用模型参数体系研究

为了实现通用弹道导弹模型参数与具体仿真系统分离,通过分析通用弹道模型的一般建模方法,合理选择导弹基本设计参数,提出了一套可行的任务级仿真弹道导弹通用模型参数体系。该研究结果可实现通用弹道导弹模型参数实例化的＂两步走＂,即第一步输入导弹的性能参数,第二步输入作战想定参数,以这种方式解决通用弹道模型实例化专业性强,普通仿真应用人员难以使用的问题。     

基于Modelica语言的弹道导弹系统仿真实现

针对传统建模方法建模效率低问题,将Modelica语言应用于某弹道导弹飞行仿真。简要比较了Mo-delica语言平台与Simulink,介绍了Modelica的基本建模方式,高效实现了系统数学模型到仿真模型的转化,解决了建模过程中弹道导弹的多阶段飞行切换问题,对导弹参数进行了有效管理,在可视化建模环境下通过拖拽图标搭建系统,过程快速直观,模型层次分明,仿真结果得到验证。     

弹道导弹运动建模与跟踪研究

对弹道导弹运动状态的实时跟踪是进行反导系统研究要解决的关键问题之一。文中针对此问题,首先分析了弹道导弹的运动特性,建立了重力转弯条件约束下的动力学模型;其次分析了动力学模型中的参数,建立了简化了的弹道导弹运动模型;最后对状态变量进行了适当选择,推导了弹道导弹运动状态方程,仿真了基于EKF的实时估计方法,结果表明使用文中所提出的弹道导弹跟踪建模方法跟踪精度较高。     

导航系统仿真及其可视化实现方法

为提高综合航空电子系统仿真软件的可重用性并减少开发周期,对导航系统的仿真设计方法及可视化实现思路进行研究。以导航仿真系统为例,阐述实现导航系统仿真的模块化划分方法。以IDATA为图形绘制和图形渲染工具,建模该系统的可视化实现方法,并给出某航空训练仿真器中导航系统的开发流程、设计示例及实现效果。实践结果表明,该仿真系统及其可视化实现方法能保证软件程序的移植性,减少了数据显示及可视化应用中图形开发和集成调试的工作周期。     

基于SysML的航天飞行器多专业系统工程分析方法

针对系统复杂性和专业性日益提升及系统中包含专业领域模型越来越多的发展趋势,现有系统分析工具存在对专业领域模型分析不充分、不准确的问题。为此,以Sys ML建模工具和过程集成与设计优化框架——Model Center为基础,提出了一种适用于专业领域模型的系统工程分析方法。以空射弹道导弹控制系统设计为例,具体介绍了专业Sys ML模型生成、参数图表示、分析模型生成、需求建模及仿真等步骤的详细实施方式。该方法紧密结合专业模型,分析结果可直观反映专业模型的输入输出关系,便于设计者修改设计参数以实现系统的优化设计。     

软件工程化方法在武器3D实体建模中的应用研究

针对复杂武器3D实体建模的需求,分析并比较了软件工程化中的瀑布模型、变换模型和增量模型等3种模型开发方法,首次将增量模型方法引入到武器3D实体建模中.基本思路是,首先根据需求分析得到的信息将武器3D实体模型划分为不同的增量构件,然后对增量构件进行详细设计并完成基于MultiGen Creator的构件开发与测试,最后进行增量构件组装和模型测试.结果表明,应用该方法有利于提高模型的可重用性和开发效率,同时使开发的模型满足视景仿真系统的逼真性和实时性的要求.     

基于ADAMS和MATLAB的模块化建模方法与实现

从动力学模块化模型重用的需求出发,采用ADAMS与MATLAB联合开发的方法,以多轴重型车辆为对象,从拓扑结构与模型设计、模版开发、服务开发3个方面利用cmd脚本和m语言进行模块化建模与快速装订的方法研究,最后通过多轴重型车辆动力学建模原型系统验证了模块化建模方法的可行性、有效性以及模型的可重用性能,为复杂动力学系统建模与模型重用提供了可以参考的方法。     

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.     

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 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.     

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.