基于自适应时频分布的瞬时频率估计算法

为了改善噪声条件下信号瞬时频率的估计方差及减少瞬时频率估计的计算量，提出了基于信号自适应最优核时频分布的瞬时频率估计算法及一种改进算法。在改进算法中，计算自适应时频分布时，综合利用线性时频分布（Gabor变换）和正交时频分布（Wigner- Ville变换）的特点生成一种基于信号的自适应时频分布。仿真和实际数据处理结果表明，改进算法同基于信号的自适应最优核时频分布的瞬时频率估计算法相比具有计算量小、方差接近的优点。     

改进粒子滤波算法研究

重采样思想能解决粒子滤波中的粒子退化问题，但却导致粒子多样性丧失的现象，使描述状态后验概率密度的粒子不够充分。围绕如何增加粒子的多样性，已提出的改进算法包括MCMC移动步骤及正则化粒子滤波（RPF）算法。讨论2种改进算法的基本思想及步骤，通过对一典型标量非线性系统的仿真实验，分析改进算法的性能特点。实验结果表明，2种改进算法都有效增加了粒子的多样性，缓解了粒子匮乏问题。     

超宽带SAR利用改进CS算法成像

在原始Chirp Scaling（CS）算法的基础上．详细推导了改进CS算法．并利用改进CS算法对超宽带合成孔径雷达（UWB SAR）进行成像。将成像结果与原始算法的成像结果比较后，其结果证明该算法突破了原始算法的局限性．能对大处理角的超宽带合成孔径雷达成像。     

闪烁噪声环境下目标跟踪的UPF算法研究

介绍了一种改进的粒子滤波（PF）算法——无味粒子滤波算法（UPF）。该算法结合UKF（unscented Kalman filter）和PF算法，利用UKF对非线性系统的处理能力，用UKF得到粒子滤波的重要性采样密度函数，从而克服了PF没有考虑最新量测信息和UKF只能应用于噪声为高斯分布的不足。在给出的闪烁噪声统计模型基础上．将UPF、PF算法在雷达目标跟踪中进行了比较，仿真结果表明该方法可以取得比标准的粒子滤波更快的滤波收敛性和更高的滤波精度。     

基于粒子群算法的仿真任务共同体服务选择算法优化研究

在研究粒子群算法（ PSO）及其改进的DGOSS算法、STCSSA算法基础上,从仿真任务共同体的定义、服务选择界定及服务品质（ QoS）描述出发,改进设计了PSO的惯性权重动态调整策略,建立了一种优化的仿真任务共同体服务选择算法（ ITCSSA）;通过仿真对比验证表明：ITCSSA算法较DGOSS算法、STCSSA算法有更好的收敛速度、精度和适用性,对于多用途仿真系统的资源分配优化具有一定的参考价值。     

人工神经网络的MB─P学习算法及其在毫米波辐射计目标识别中的应用

简要地介绍了人工神经网络的一种改进的误差后向传播学习算法（ＭＤ─Ｐ）。并将这种算法用于毫米波辐射计目标识别系统，仿真结果表明，其分类精度很高，具有较高识别率。     

基于LM优化算法的BP神经网络目标识别方法

误差反向传播算法（Back-propagation简称BP算法）是当前前馈神经网络训练中应用最多的算法。针对BP算法存在局部极小点，收敛速度慢等缺点，通过采用基于优化理论的Levenberg-Marquardt（LM）算法来改进BP算法。对提取的目标瞬态特性特征归一化后作为BP神经网络的输入，通过Matlab仿真对网络进行调整，并将训练好的网络进行军事目标识别。结果表明，该方法合理可行，且收敛速度快，预测精度高，为目标识别提供了一种新方法。     

固定指数加权模糊自适应EKF研究及其应用

为了改善扩展卡尔曼滤波（EKF）算法在机动目标跟踪中的跟踪性能，文中研究了一种固定指数加权模糊自适应扩展卡尔曼滤波技术，通过监视理论残差和实际残差的协方差一致程度。应用模糊推理系统不断调整滤波协方差，对扩展卡尔曼滤波器（EKF）进行在线自适应控制．最终实现最优估计。仿真结果表明，改进的算法稳定性高，精度得到明显改善．用于弱机动目标跟踪效果较好。     

最小均方误差波束赋形算法及其改进算法的性能分析

介绍了最小均方（Least Mean Square，LMS）算法及其改进算法：变步长LMS（Varied Step Size LMS，VSSLMS）算法和稳健变步长（Robust VSSLMS，RVSSLMS）算法，并根据波束赋形算法必须具有较快的响应速度和收敛速度的要求，用Matlab重点对每个算法的稳态误差和步长变化情况进行仿真比较。仿真结果进一步证明了RVSSLMS算法具有更小的稳态误差和更快的收敛速度，更具有实用价值。     

基于一种新型神经网络的姿态控制故障诊断方法

在导弹姿态控制系统的故障检测和诊断中，针对BP神经网络自身存在的收敛速度慢等缺点，介绍了一种新型神经网络——带偏差单元的递归神经网络的结构及算法。将它和一改进算法的BP（称为FBP）网络分别用来对同一导弹姿态控制系统进行故障诊断，结果表明，这种算法提高了故障诊断的快速性，增加了诊断的准确性，故障诊断的正确率优于FBP神经网络。     

Nitrosation and Nitration of Tetraacetyldibenzylhexaazaisowurtzitane

Tetraacetyldibenzylhitane (TADBIW) was subjected to debenzylation by nitrosating with inorganic materials available commercially to synthesize tetraacetyldinitrosohexaazaisowurtzitane (TADNSIW). TADNSIW was purified, and its structure was determined by FTIR, 1H NMR, MS and element analysis. The debenzylation reaction of TADBIW gave quantitative benzaldehyde as a by-product. This indicates that the reaction produces an imine cation as an intermediate. Hexanitrohexaazaisowurtzitane (HNIW) was prepared from unpurified TADNSIW with the yield over 96.0 % and the purity more than 98.0 %. And the mechanism of the reaction from TADNSIW to HNIW is proposed to be oxidation of nitroso and nitration of acetyl on the molecule of TADNSIW, This reaction system involved is simple, and the reaction can complete within a short time and under mild conditions. The product can be easily to separate and the waste disposed readily.     

A Robust Algorithm for Watermarking 2D Vector Maps with Low Shape-Distortions

The technique of watermarking has been introduced into 2D vector maps for many potential applications such as protecting the copyright of important GIS （geographical information system） data and tracing the data source of military maps. In most previous works, although the validity of the map data could be preserved during the embedding procedure, the shape-distortions of the map elements are usually neglected which would tend to degrade the invisibility of the watermarking schemes. A shape-preserving algorithm for watermarking 2D vector maps is presented in this paper. A 1D distance sequence extracted from the original map is adopted as the cover data instead of 2D coordinates. A watermark bit is represented by changing the distributions of the cover data. The embedding procedure induces lower shape-distortions than in former works. Experimental results indicate better invisibility of the proposed scheme, as well as its robustness to certain attacks such as map simplification, interpolation, additive noise and most geometric transforms.     

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.     

Open Rule-setting System Applied to Conceptual Design of Engines

Open rule-setting method advanced in this paper concentrates on providing designers of engines with a convenient way to express their design innovations and develop the expected prototypes in the early CAD stage, and constitute effective models for the following analysis process of CAE and CAPP. The problems arisen in the process of conceptual design with the traditional experience-based development method are analyzed. Based on those analyses, open rule-setting method is presented and some associated technical problems are discussed. The functional framework of open rule-setting system was built as software engineering methods. The speciality of the engine product as a kind of complex product and the requirement of the engine product based on its structural particularity to rule-setting system are considered carefully. A demonstration is supplied to illustrate how the open rule-setting method enhances the efficiency and quality of the engine conceptual design.     

Research on Linux Network Device Driver

By analyzing the working principle of Linux network device driver, discussing the Linux network driver structure and its key technologies, the general network driver structure and its design methodologies in Linux system are summarized. Through modifying the network device driver of Linux device driver 3rd version snull, c and improving the COW technology, the Zero-Copy technology in Linux （kernel version 2.6.11 ） is implemented. In the end, the success test tells us that the thorough analysis of network device driver is the foundation of many applications, and it also provides a certain improvement to a lot of real applications, even to military application development.     

Improvement and Experiment of the Reamer in Vibra Cutter Against Wave Edge of Titanium Sheet Alloy Parts

By analyzing the influencing factors of part quality making of sheet alloy of titanium by vibra cutter, the shape of upper reamer is set as cylinder and wedge-shaped form, and the lower reamer as plain and hemicycle form, and its main structural parameters are defined as well. Then it is validated further that such improved vibra cutter reamer can be used to process curve-edged parts of titanium alloy sheet. The experimental result shows that the titanium alloy sheet parts processed by above equipment have no sharpen angles for convex parts and evident crevasse of concave-edged part. In summary, such improvement can eliminate the free-waved edge and improve the manufacture quality of titanium alloy sheet parts greatly.     

Experimental Study on the Small Flyer Initiating Behavior of Fine-grained Explosives

The initiating behavior of fine-grained explosives by small flyer is studied. The diameter of small flyer in this device is 1 ram. The test results indicate that the granularity of explosives has great effect on its flyer initiating sensitivity.The flyer initiating sensitivity of the fine-grained explosives is higher and the critical initiating energy is lower than that of common explosives. For common explosive, the flyer initiating sensitivity increases as the density is reduced. But for the fine-grained explosive, the test results are exactly opposite.     

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.     

Algorithm for Multi-laser-target Tracking Based on Clustering Fusion

Multi-laser-target tracking is an important subject in the field of signal processing of laser warners. A clustering method is applied to the measurement of laser warner, and the space-time fusion for measurements in the same cluster is accomplished. Real-time tracking of multi-laser-target and real-time picking of multi-laser-signal are introduced using data fusion of the measurements. A prototype device of the algorithm is built up. The results of experiments show that the algorithm is very effective.     

Robust Graded Sliding Mode Tracking Control for Low Speed Spinning Ballistic Missiles

The nonlinear dynamic model of spinning ballistic missiles is established during the first boosting phase of the missile. Based on the conventional backstepping sliding mode control and the assumption of a two time-scale separation of missile dynamics, a graded sliding mode controller is designed with two sub-sliding surfaces which have invariability to external disturbances and parameter perturbations, and a matrix which comprises three first order low pass filters is introduced to prevent ＂explosion of terms＂. Owing to the upper bounds of the uncertainties are difficult to obtain in advance, adaptive laws are introduced to estimate the values of the uncertainties in real-time. Eventually, the numerical simulation results given to show the proposed controller can ensure the steady flight of missiles.