多传感器多目标定位与跟踪技术研究

针对炮兵打击目标的特性和获取目标信息所采用的侦察设施 ,研究了多传感器多目标定位和跟踪问题。在闭圆和聚类概念的基础上 ,提出了一种多传感器多目标融合算法 ,并给出了状态估计的最优解。仿真结果证明了这种算法的有效性。这一模型的物理实现正在进一步研究之中。     

基于偶极子理论的磁流变液流变特性模拟分析

根据磁性颗粒的偶极子理论,建立了磁性颗粒的三维动力学模型,模拟了三维状态下磁流变液磁性颗粒成链的过程,对影响成链速度的因素如磁场强度等进行了分析,结果表明:静态磁流变液的成链速度与磁性颗粒的体积分数、颗粒的大小及磁场强度成正比。对剪切速率为200s-1时磁流变液的动态特性进行仿真,结果发现:磁性链条处于一种动态平衡,但支链明显增多,导致剪切屈服应力下降。     

反水雷作业中搜扫路线优化研究

传统的搜扫水雷路线配置方法是以作业区域中的最不利水深导致的最小扫宽来配置扫雷路线,这样导致在水深变化范围较大的海域里重扫面积较大,作战效能降低。提出了"非等间隔平行搜扫法",通过仿真分析研究,改进后的配置方法可以避免出现大面积重扫区域,节省扫雷兵力和时间,提高作战效率。     

红外成像水面靶标的设计与实现

水面靶标为反舰武器海上飞行试验提供水面模拟舰船目标。介绍了红外成像靶的功能和技术指标，详细给出了舰船红外成像模拟实现的总体设计方案、硬件和软件实现方式。海上测试结果表明，这种靶标能够较好地实现舰船红外热像模拟，在海上试验的实际应用中取得了预期效果。     

An air cavity method for increasing the underwater acoustic targets strength of corner reflector

In order to improve the underwater acoustic target strength of corner reflectors, according to the principle of acoustic impedance mismatch of the boundary layer, the method of using air cavity to increase the underwater acoustic target strength of corner reflectors is proposed. The acoustic reflection coefficients of underwater air layer and single layer metal sheet are calculated and compared. The results show that the reflection coefficient of single layer metal sheet is greatly affected by frequency and incidence angle, and the reflection coefficient of air layer in water is large and little affected by frequency and incidence angle. On this basis, a new kind of airfilled cavity corner reflector is designed. The acoustic scattering characteristics of underwater airfilled cavity corner reflector are calculated cumulatively, and the results are compared with the monolayer metal sheet corner reflector. The simulation results show that the acoustic reflection effect of the airfilled cavity corner reflector is better. In order to verify the correctness of the method, the test was carried out in the silencing tank. The experimental results show that the simulation results are in good agreement with the experimental results, and the airfilled cavity can improve on acoustic reflection performance of the underwater corner reflector.     

防空兵群射击指挥方式及其优化问题

从防空兵作战指挥的实际需求出发,利用概率论和防空作战运筹理论,描述了集中、分散、混合和平行等射击指挥方式的概念、特点及其相互关系,论述了射击指挥方式定量分析的基本方法、主要依据和指标,建立了基于群抗击效率的评估模型,在对多种射击指挥方式进行定量比较的基础上,揭示了射击指挥中具有普遍意义的、潜在的实用规则.     

反舰导弹对目标信息迟滞的适应性分析

目标信息迟滞(延误)情况下的导弹攻击是导弹超视距攻击的一种常态。以直升机引导反舰导弹实施超视距攻击为例,在全面分析反舰导弹超视距攻击射击误差因素的基础上,建立了反舰导弹捕捉概率模型,对目标信息迟滞对导弹捕捉概率的影响进行了精确定量分析,得出了相关结论,并对导弹超视距攻击的引导与实施提出了建议与要求。     

基于模糊推理的雷达辐射源识别方法

辐射源数据往往不完整或不确定,因此应用模糊推理实现了辐射源和目标平台的识别.将辐射源特征转换为由模糊集及隶属度函数表征的参数,再通过与数据库中的辐射源数据进行模糊匹配来判断辐射源的类型,实现了雷达辐射源的被动识别方法.进一步通过识别出目标平台上所装备的雷达辐射源的参数值,利用模糊推理,推断出目标平台的类型.试验结果表明:模糊推理的算法是切实可行的,在对模拟数据加入的噪声不超过一定限制的情况下,对于数据库已有的目标能够达到较高的目标识别率.     

同轴均匀消磁线圈对坦克磁场影响效应的数值模拟

通过数值处理和计算机模拟，得出一种排布方式的消磁线圈对坦克磁场的影响效应分布，即当消磁线圈为均匀密排情形时，线圈内部为匀强磁场，方向沿通电线圈的轴向，且与环形电流呈右手螺旋关系；线圈外部为磁偶极子场，该场会随着与线圈中心距离的增大而迅速减小。数值模拟的结果可为封闭型军事装备表层安装消磁线圈提供参考；通过分析消磁线圈附加磁场的特点为装备磁防护理论提供一些支持。     

An infrared target intrusion detection method based on feature fusion and enhancement

Infrared target intrusion detection has significant applications in the fields of military defence and intelligent warning. In view of the characteristics of intrusion targets as well as inspection difficulties, an infrared target intrusion detection algorithm based on feature fusion and enhancement was proposed. This algorithm combines static target mode analysis and dynamic multi-frame correlation detection to extract infrared target features at different levels. Among them, LBP texture analysis can be used to effectively identify the posterior feature patterns which have been contained in the target library, while motion frame difference method can detect the moving regions of the image, improve the integrity of target regions such as camouflage, sheltering and deformation. In order to integrate the advantages of the two methods, the enhanced convolutional neural network was designed and the feature images obtained by the two methods were fused and enhanced. The enhancement module of the network strengthened and screened the targets, and realized the background suppression of infrared images. Based on the experiments, the effect of the proposed method and the comparison method on the background suppression and detection performance was evaluated, and the results showed that the SCRG and BSF values of the method in this paper had a better performance in multiple data sets, and it’s detection performance was far better than the comparison algorithm. The experiment results indicated that, compared with traditional infrared target detection methods, the proposed method could detect the infrared invasion target more accurately, and suppress the background noise more effectively.