网电作战目标识别系统建设

随着信息技术的普及和发展,作为陆海空天之外的第五空间,网络电磁空间已成为现代信息战争的重要作战域。网电作战目标成为作战双方打击和防卫的关键对象,并贯穿于各个作战域。文章就网电作战目标识别提出网电作战目标识别系统的建设。以美军在其"作战云"理念下建设的目标情报融合系统作为参考,从系统组成要素和系统组织关系等层面对未来网电作战目标识别系统建设提出构想,有益于未来网络电磁空间情报体系框架构设。     

防空兵确定被保卫目标重要性的一种方法

防空兵正确确定被保卫目标的重要性,是正确构建防空火力配系的基础.首先全面梳理了确定被保卫重点的六条依据,然后,在分析目标选定因素的基础上,给出了利用层次分析法确定各个指标权重的方法,同时,建立了防空兵评价被保卫重点目标重要性的数学模型,并结合一个实例验证了方法的应用.     

一种基于地形分析的多目标关联算法

利用低时空分辨率的卫星遥感观测进行目标群关联,由于目标群运动状态转变的规律性不好寻找,目标群的精确属性特征难于获取,增加了利用目标属性进行关联的实现难度.考虑到地形特征对目标群运动影响的特点,提出了基于地形栅格分析的多目标关联算法.     

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.     

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.     

用结构自适应前馈网络解算多目标导弹攻击区

多目标导弹攻击区的实时解算是机载多目标攻击武器系统得以技术实现的中心环节。阐述了“多目标导弹攻击区”的概念 ,探索了其解算的技术途径 ,提出了“实时、高精度和低存储”的解算要求。根据上述技术要求 ,设计了基于网络灵敏度统计分析的多层前馈网络结构自适应算法 ,以用于训练合适规模的多层前馈网络逼近器。在此基础上 ,进行了系统仿真研究 ,研究的结果表明了该方案的应用前景。     

多属性模糊决策对舰炮射击目标优选

舰炮在现代高科技条件下海战中承担着重要的作战使命和任务,它能否完成被赋予的作战使命和任务,射击目标的优选起着决定性作用.为解决舰炮射击目标优选、决策问题,研究分析了多属性模糊决策方法,以及影响舰炮射击目标优选的因素,提出了多属性模糊决策方法的数学模型和求解最优射击目标排序的新方法.该方法在舰炮射击目标优选中的应用实例表明:通过定量和定性相结合,专家判断和信息处理相结合的多属性模糊决策方法对舰炮射击目标优选、决策具有一定的借鉴意义.     

新的空间物点定位解算方法

目前近景摄影测量学空间物点定位主要应用的是空间点线线交会原理,其数学基本形式有两种:共线方程交会法和投影矩阵交会法.针对近景摄影测量学空间物点定位原理,在共线方程交会法的基础上,提出了一种新的空间物点定位解算方法.该方法应用多元函数极值定理和克莱姆法则对空间线线交会问题进行求解,给出了详细的运算过程.实验证明了该算法的准确性.     

机载多传感器跟踪与融合算法的仿真系统

建立了一种机载多传感器跟踪与融合算法的仿真系统.该仿真系统可以针对仿真场景,传感器组合,传感器参数,跟踪算法参数, 跟踪算法的不同情况来评价跟踪性能,从而为跟踪算法的合理选择,算法参数的优化设计,以及实际系统的研制提供有力支持.     

最小二乘滤波在目标跟踪中的应用

根据目标在运动过程中具有轨迹连续性的特点,基于最小二乘法通过设计综合预测器的方法,并结合坐标变换得出目标的预测位置信息。这种方法结合了线性预测器与平方预测器的特点,对于目标跟踪过程中的预测更加贴近,且能减少跟踪算法的计算量;对于实现导弹的稳定跟踪具有一定的应用价值。