“铁锚”行动 不列颠的核黎明

在英国皇家空军的历史上,5月15日发生了太多不平凡的事件。1940年的这一天,为了报复纳粹德国对荷兰鹿特丹的轰炸,99架英国轰炸机起飞首次空袭了鲁尔地区的工业设施。一年后的     

"眼镜蛇"在行动——泰国海军特种部队

提及泰国,人们首先会想到其独具特色的佛教、风景优美的普吉岛、令人垂涎的美食、赫赫有名的泰拳……作为亚洲重要的旅游国家,泰国一直吸引着世人的眼球。除了旅游业,泰国的军事力量也令人关注,一年一度由泰、美主办的金色眼镜蛇演习,已经发展成为东南亚级别最高的联合演习,吸引了众多国家参与,而泰方参加演习的主要部队即是本文的主角——泰国海军特种部队——     

坚守在战场最前线——美军第1机械化步兵师、第10山地师阿富汗从军记

<正>派遣至阿富汗一年的时间里,士兵们几乎天天过着这样的生活:浑身被汗水和灰尘覆盖,警戒着随时会发动袭击的敌人,难得好好地吃一顿饭,完全没有真正的休息时间……,这就是反恐战争最前线的士兵。这些意志力很强、始终坚守在战场最前线的,就是美军第1机械化步兵师和第10山地师的士兵——     

旋转球体宽带时延-时间伸缩声成像方法分析

使用宽带处理和小波变换理论对延展目标进行主动声成像.在对均匀密度的粗糙球体和常用的窄带散射函数模型进行分析的基础上,研究了对于球体模型的宽带扩展函数(WBSF)及其与球体相关的参数,讨论了通过使用小波变换方法来处理模型中存在的奇异值,最后,通过计算接收信号的小波变换对宽带扩展函数进行估计.     

“勒克莱尔”坦克的优势

在现代战争中，始终保持装甲装备优势的要求，支配着“勒克莱尔”主战坦克最初的设计定义。这种关键性的要求使其装备了性能明显优于其他坦克的系统，并在技术上与现有的发展能力相结合．综合未来的技术进步。法国现装备的“勒克莱尔”坦克，将要提供的称之为21世纪系列的、性能先进的定义标准、新的设备和未来的发展研究等，都在于充分发挥“勒克莱尔”坦克的作战优势。     

基于UML和XML Schema的航天飞行数据建模

航天飞行过程的核心元素是"主体"和"行为".利用面向对象的方法,建立航天飞行过程的数据模型,并用UML静态关系图进行描述,通过自定义的转换规则,构造XML Schema描述的物理模型,进一步建立了航天飞行的实例,形成统一的XML文档,实现数据交换格式的标准化.     

NRA2009展会轻武器精选(上)

全美步枪协会(NRA)每年举办一届展会,展会也成为各种新产品的发布会。NRA2009展会已是第138届,于5月14～17日在美国亚利桑那州的凤凰城举行。与以经销商和专业人士为对象的SHOT展不同,NRA展会主要面向一般消费者,因此会场中带着孩子前来参观的普通客人络绎不绝,成为周末的一件乐事。并且由于展出费用不高,SHOT展上看不到的中小企业和收藏者团体也纷纷参加NRA展会,不过,参展单位一般都是美国的制造商,观看展会的也大部分都是美国人。     

自动送药遥控小车及视频监控系统

介绍了自主研制的应用于某雷管装药生产线的自动送药遥控小车,详细说明了遥控小车的自动送药工艺、单片机控制系统、运动电机与翻斗电机的电气控制、与小车协调工作的防护门禁系统以及视频监控系统.该成果经实际使用取得了良好的应用效果.     

人民兵工始祖——中央红军官田兵工厂

中央红军官田兵工厂于1931年第三次反围剿后创办于江西省兴国县官田村,是当时红军最大的兵工厂。它的诞生,标志着中国共产党独立创办的第一家综合性兵工厂的形成,是我军武器装备工业发展的源头——     

乔治·卢格武器营销二三事

纵观半自动手枪的发展史,乔治·卢格无愧是其中的领军人物。卢格本是德国设计师,但由于存有德国武器及设计者资料的普鲁士军事档案馆在1945年的盟军空袭中毁干一旦,因此很难找到卢格在轻武器设计与销售方面的资科。但幸运的是,1970年代在南斯拉夫的黑山历史档案馆中发现了收藏有卢格于1906～1914年间写给当时黑山公爵国伊利亚·赫杜科维奇少校的20封信,从中可以得到卢格在各国推销马克沁机枪及卢格手枪的一些非常有价值的信息。据知,这也是迄今为止发现的最大数量的卢格信件,通过这些信件,可以使我们了解到一代设计大师作为营销商的一面……     

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.