一种改善飞行器高度表信号品质的方法

根据气压高度表和惯导高度回路的特点,提出了利用气压表/惯导组合高度回路来改善气压高度表信号品质的新方法.仿真结果表明该方法可以有效地抑制高度表的高频随机噪声和补偿其延迟误差.     

巡航导弹海上生存能力模型研究

首先,深入研究了海上阵风、海浪以及巡航导弹垂直平面内飞行和高度控制等数学模型．给出了阵风、海浪的仿真方法。在此基础上，提出计算巡航导弹生存能力的计算方法．并画出了计算流程图。此外．上述模型对于巡航导弹飞行仿真也是适用的。能够为巡航导弹海上飞行的其它相关研究提供帮助。     

无源北斗一号接收机测距测速精度分析

针对气压高度辅助的北斗一号接收机，给出了定位测速模型，并提出了带有模糊逻辑控制器的跟踪测量环路、伪距和积分载波相位测量方法。最后定义了气压高度辅助的北斗导航下的几何误差因子，并分析了其对定位精度的影响。研究结果为国内北斗一号接收机的研制提供了理论依据和参考价值。     

光学前视在巡航导弹地形跟踪中的应用与仿真

针对某巡航导弹地形跟踪的高精度测高问题，文中采用适应角法的光学前视系统，以减少传统高度表法的飞行高度测量误差。仿真计算表明．该方法可以有效降低巡航导弹在丘陵和山区的飞行高度，提高地形跟踪的能力。     

基于蚁群算法的巡航导弹航路规划研究

航路规划是提高巡航导弹突防概率的关键因素之一。为了提高巡航导弹对敌打击的有效性，在对敌防御区域内的目标进行打击时，必须保证巡航导弹能以最小的被发现概率和可接受的航程接近目标。针对这一问题，文章对近年来出现的蚁群算法进行了讨论和改进，将它应用于巡航导弹的航路规划问题，比较详细地考虑了巡航导弹航路规划中各种影响因素，并进行了仿真计算。     

巡航导弹的GPS/INS组合导航系统研究

提出了巡航导弹卫星/惯性组合导航系统的组合结构,分析并建立了组合导航系统的误差模型,采用了卡尔曼滤波器进行组合导航系统导航状态的最优估计,并进行了组合导航系统的仿真计算.仿真结果表明采用卫星导航定位系统对巡航导弹的惯性导航系统进行辅助将大幅度提高巡航导弹的导航精度,具有重要的实际意义.     

巡航导弹典型目标瞄准点优化方法研究

目标瞄准点的选取是影响巡航导弹打击效果的重要因素之一。文中针对巡航导弹打击目标的目标特性，对目标类型进行了划分，给出了对于几种典型目标的瞄准点选取方法。     

巡航导弹防御现状与发展趋势分析

针对局部战争和地区冲突中巡航导弹的巨大威胁,分析了巡航导弹的最新特点及作战过程。从预警探测、电子干扰、武器拦截三个方面,剖析了巡航导弹防御的现状,总结了巡航导弹防御的进展,并给出了巡航导弹防御将朝着一体化预警探测、体系对抗的趋势发展等结论。     

高炮武器系统在巡航导弹攻击下的生存概率模型

巡航导弹在近期几场局部战争中的都发挥了重要作用，根据巡航导弹针对高炮阵地毁伤特点和规律，提出了高炮武器系统被巡航导弹命中的概率计算方法，建立了分析模型，为计算高炮武器系统被巡航导弹命中的概率问题提出理论的解决方法。     

美国大力发展巡航导弹的原因分析

针对近年来美国大力发展巡航导弹的现状,研究并分析了《中导条约》、美国的"全球作战概念"及其对应的火力分配、海湾战争后美国导弹武器使用情况、美国"成本施压"的军事战略以及巡航导弹与弹道导弹的综合效能对比等问题对此的影响。分析结果表明,巡航导弹在打击精度、作战灵活性、装填密度、成本以及多平台适装等方面的优势使其更符合美国的军事部署以及战略需求,而由此产生的供需关系决定了美国选择大力发展巡航导弹这一决策。     

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.