面向装备作战效能评估的灰靶理论综合模型

针对武器装备作战效能评估结果对其作战运用的指导问题,提出一种面向装备作战效能评估的灰靶理论综合模型。给出邓氏灰靶理论并分析其在装备作战效能评估中的应用缺陷;介绍基于TOPSIS方法理念的装备作战效能评估的综合靶心度模型,包括虚拟灰色靶心的构造、基于灰色关联度的综合靶心度模型等;给出4部超短波地面通信对抗系统的作战效能评估实例。分析结果表明,该综合评估方法具备合理性和有效性。     

指挥信息系统效能评估方法

分别从常用评估系统效能的解析法、综合评估法、基于仿真的方法和系统作战效能评估的SEA方法、系统模型方法、作战模拟方法给予阐述与总结,为以后指挥信息系统综合效能评估提供依据和参考。     

某型防空导弹作战系统作战效能评估分析

在综合国内外多种效能评估理论和方法的基础上, 建立了某型防空导弹的主战、保障、指挥三个分系统作战效能及作战系统作战效能评估模型, 并通过示例验证了其正确性和可行性.模型可为该防空导弹武器作战系统的指标论证、方案论证、工程研制、鉴定定型和作战运用等提供定量决策依据.     

炮兵侦察校射无人机作战效能

介绍武器系统作战效能评估方法中的ADC法，综合考虑炮兵侦察校射无人机自身系统及在作战运用过程中的多种情况，建立炮兵侦察校射无人机作战效能评估模型，从而实现了其作战效能的定量评估．     

基于多Agent的编队作战指挥系统效能评估方法

采用多Agent系统对编队作战指挥系统进行建模仿真,通过HLA技术综合集成构造系统效能评估体系结构,重点研究了对抗条件下系统作战效能评估指标体系和评估模型.建立了信息优势和决策优势定量化度量公式,并结合解析法给出了兵力倍增评估模型.     

多算法组合的反坦克导弹作战效能评估方法研究

通过分析ADC法、AHP法与模糊综合评判3种常见作战效能评估方法的优缺点,提出了一种多算法组合的作战效能评估方法,针对反坦克导弹的作战特点,构建了一组较为系统的反坦克导弹作战效能指标体系,建立了反坦克导弹作战效能的评估模型,并详细阐述了反坦克导弹作战效能的求解方法。     

武器装备作战效能的评估方法

分析了单项效能、系统效能和作战效能的不同特点；以WSEIAC模型为例，论述了系统效能的一般评估方法；在介绍了多种作战效能模型的基础上，论述了作战效能的评估方法；最后，论述了基于仿真的作战效能的评估方法．     

攻防对抗环境下无人侦察机作战效能评估

以美国工业界武器系统效能咨询委员会提出的ADC模型为基础, 综合考虑无人侦察机自身系统以及在作战中的多种情况, 提出了完整的无人侦察机作战效能评估指标体系, 建立了无人侦察机作战效能评估模型.从而实现了无人侦察机作战效能的定量评估, 其中对无人侦察机战场对抗环境下的可用度、可靠度给出了详细的分析方法, 通过数学建模和分析计算, 得出了计算结果, 验证了模型的正确性.重点在于能够对无人侦察机系统在战场对抗环境下进行定量计算评估, 提高了模型的精确性, 可应用到部队的实际作战中, 为系统的设计、研制、评价提供了依据.     

基于云模型的无人机对海突击作战效能评估

为了准确评估无人机作战效能,在动态分析无人机对海突击作战过程的基础上,分析了影响作战效能的 主要因素指标。结合层次分析法构建了无人机作战效能评估指标体系,运用专家打分法给出作战效能评估指标的权 重和评价,采用云模型实现作战效能评估指标定性与定量的相互结合,利用正态云运算规则得出无人机的综合作战 效能云。仿真分析结果证明了该模型的有效性和可行性。     

信息化条件下自行火炮效能评估模型研究

信息化条件下自行火炮效能评估模型以现代作战中的各种自行火炮为对象构建，该模型从系统分析人手，采用层次分析法，通过分析决定和影响自行火炮作战效能的主要因素，建立综合效能评估的指标体系，模型包括总体效能模型、指挥系统效能计算模型、机动运行系统效能计算模型、火力火控系统效能计算模型和防护系统效能计算模型．     

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.     

Expert Systems Aimed at General Design of Projectiles

Expert systems aimed at the general design of projectiles can implement a series of intelligent designs, such as the design of HE shell, the scheme expounded and proved, the emulation analysis and calculation, etc. Aiming at the product design feature, the expert system adopts the object-oriented knowledge representation and all kinds of inference control engines to describe and reason the relevant knowledge regarding the product through the microcomputer. It embodies the foundation of emulation analysis and simulated manufacturing of the shell. It makes use of the method that knowledge expression is combined with condition of inference to carry out the overall design and emulation and reference.The paper gives the ways through which the functions can be achieved, gives the modularization of reference and the design methods of systematization, puts forward the method of knowledge expression and working interface, and supplies a platform for similar products of the shell category that can be quickly designed.     

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.