爆炸逻辑零门可靠性研究

建立了爆炸逻辑零门作用可靠性的数学模型，讨论作用可靠性概率窗口，对拐角效应零门和接触零门进行了具体分析。文给出了相应的可靠性试验数据为逻辑网络的研究提供了依据。     

一种新型爆炸逻辑零门设计研究

运用爆炸网络设计原理设计出一种新型的爆炸逻辑零门,通过试验基本确定这种以黑索金为基的网络炸药的零门设计参数,即夹角α为35°～55°.爆炸逻辑零门的实现进一步证实了实现爆炸逻辑网络的可行性.     

一种爆炸逻辑元件的设计

根据爆炸逻辑元件的作用原理,对爆炸零门及控制开关进行了设计,试验研究了不同结构、不同传爆药以及不同控制通道与传爆通道间隙下的零门功能,以及控制开关作用时间.结果表明:选择感度适中的细化HMX和较高爆炸能量的控制通道,在一定间隙下,爆炸逻辑元件能够完成自锁逻辑传爆功能;此外,应选择作用时间较短韵控制开关,并注意其与起爆雷管的作用时间的匹配.     

冲击片雷管双裕度系数设计方法研究

为了提高冲击片雷管的设计可靠度,依据冲击片雷管的作用原理,以某型冲击片雷管为例分别计算了以输入刺激量、飞片速度等为特征参量的冲击片雷管裕度系数。结果表明,仅以输入刺激量表征产品设计裕度不能完全反映产品的可靠性状态,而辅助以飞片速度为特征参量的输出裕度系数则能更真实地体现产品的质量特性。提出了一种在雷管设计过程中同时考虑,以输入刺激量为特征参量的输入裕度系数和以飞片速度为特征参量的输出裕度系数的双裕度系数设计方法,来提高冲击片雷管裕度系数设计的科学性。     

爆炸逻辑元件的研究

论述了爆炸逻辑元件──爆炸逻辑零门和与门的设计原理和设计方案；通过实验，实现了上述两种爆炸逻辑元件的设计，研制成了基板式爆炸逻辑零门和爆炸逻辑与门。     

冲击片雷管四点阵列输出界面作用可靠性设计方法

针对冲击片雷管缺乏可靠性量化设计方法的问题，开展了冲击片雷管四点阵列输出界面可靠性设计方法研究。首先基于应力-强度干涉模型提出考虑双裕度系数的可靠性量化设计方法，构建输出性能参数与可靠度指标之间的量化模型；然后对不同设计参数下的输出性能进行仿真，建立输出性能参数与结构设计参数之间的量化模型；最后结合上述两类量化模型，给出了满足冲击片雷管四点阵列输出界面作用可靠度指标要求的结构设计参数。结果表明，该方法可以有效提高冲击片雷管输出界面的可靠性设计精度，实现精确设计。     

改进间隙式爆炸零门的设计及可靠性研究

对间隙式爆炸零门进行了改进设计,并对其可靠性进行了研究,得到了可靠性窗口,发现爆炸逻辑零门的可靠性窗口与零门的关闭时间有较大的关系, 零门的关闭时间间隔越长,可靠性窗口越宽.同时还发现,在拐角距离较长,爆轰波拐弯后处于非稳定的弱爆轰条件下,零门的可靠性窗口将发生偏移.     

基于GO法的智能传感器网络可靠性

采用GO法对探测系统的智能传感器网络进行了分析，首先建立智能传感器网络GO图，进而确定操作符的状态概率，通过GO运算得出系统的可靠度．实例表明：该方法分析方便，具有较高的精确性．     

基于动态贝叶斯网络的某控制单元可靠性分析

针对传统可靠性分析方法难以描述系统动态变化特性的问题,提出了一种考虑维修因素的基于动态贝叶斯网络的可靠性分析方法。在构建某控制单元电源失效动态故障树的基础上,根据动态贝叶斯网络推理规则和故障树逻辑门向动态贝叶斯网络转化原理,建立控制单元可靠性分析模型。通过引入失效率和维修率参数,确定了控制单元可靠度随时间的变化规律,通过对比可以看出,未考虑维修因素时,单元可靠度急剧下降;考虑后,单元可靠度维持在一个理想水平。     

马尔可夫理论在爆炸逻辑网络安全性与可靠性分析中的应用

将马尔可夫过程应用于引信安全系统爆炸逻辑网络的过程识别，通过状态转移过程分析和转移概率计算，得出爆炸逻辑网络的安全性与可靠性的计算方法。     

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.