炮射悬浮式GPS干扰弹靶场试验与评估

为解决炮射悬浮式GPS干扰弹的研制与应用问题,进行了炮射悬浮式GPS干扰弹靶场试验与评估研究,提出了基于雷达、GPS接收机和计算机的靶场试验解决方案和数据处理方法,给出了基于蜂窝结构的干扰弹分布覆盖设计步骤,提出了包括功能性指标、可靠性指标和安全性指标的炮射悬浮式GPS干扰弹评估方法,定义了各评估指标的效益函数。     

频率步进雷达高分辨距离像解模糊方法研究

针对频率步进雷达中存在的高分辨距离像模糊现象,通过分析其本质原因--周期延拓引起循环移位,提出了一种等效混频解距离像模糊的新方法,并给出了等效混频本振频率的选择范围.通过仿真实验验证了该方法的有效性.     

高超声速滑翔式再入飞行器最大航程飞行轨迹分析

针对航程最大的再入问题,研究了高超声速滑翔式再入飞行器的飞行轨迹特性.使用Legendre伪谱法进行轨迹优化,得到最优轨迹.分析了路径约束对轨迹的影响,以及在路径约束下控制量对飞行轨迹的影响.根据控制量的取值规律,提出一种升力系数的分段直线取值模型.数字仿真表明,通过该模型得到的飞行轨迹与最优轨迹类似,且航程相差很小,可以作为一种使航程最大的轨迹控制方法.     

炮瞄雷达试验数据处理中有关问题的探讨

结合炮瞄雷达国家军用标准和靶场炮瞄雷达试验,对炮瞄雷达精度试验数据处理中的误差分组统计方法、样本大小选取和异常数据点处理等问题进行了探讨,并且提出了相应的处理方法     

高分辨率雷达目标一维距离像的编码识别算法

文中提出了一种高分辨率雷达目标一维距离像的识别算法。该算法借用图像处理方法,先对雷达目标的一维距离像进行编码,经过傅里叶变换提取一组形状特征。这组特征精确地描述了一维距离像曲线的走向。而后,利用人工神经网络技术对一定姿态角变化范围内的这组形状特征进行识别。实验结果表明,可以获得良好的识别效果。该算法为雷达目标一维距离像识别算法的实时处理提供了一条有效途径。     

跟踪雷达超低空目标捕获距离的精确估算方法

根据比较精确的数学模型,考虑到海情、地球曲率、海水反射特性及极化方式等各种因素影响,对应不同雷达截面积的目标,我们可计算出低仰角时接收机输出信噪比与距离的关系曲线。根据雷达的积累信噪比,可用该曲线比较精确地估算出跟踪雷达对超低空目标的最大捕获距离。     

燃烧室前缘扩张角对旋转爆震冲压发动机的影响

针对圆柱形隔离段-燃烧室构型的旋转爆震冲压发动机,开展了总温为860 K、马赫数为2的来流条件下的直连式试验,探讨了燃烧室前缘扩张角(θ=30°,45°,60°,90°)对爆震波传播特性、工况范围及压力分布的影响。结果表明:当燃烧室前缘扩张角为90°时,燃烧模态均为爆燃燃烧;随着扩张角的减小,燃烧模态将会向锯齿波和混合模态(包含单波阶段)转换。当燃烧室前缘扩张角为30°时,旋转爆震的自持工况范围最宽且燃烧室压力最高;同时,随着燃烧室前缘扩张角减小,实现混合模态的当量比下限降低。此外,分析了燃烧模态对来流的影响,发现:锯齿波/混合模态燃烧室内存在的周期性高频压力扰动会使隔离段内的激波串位置前移;混合模态对超声速来流的影响最为显著。     

Controlled warfare: how directed-energy weapons will enable the US Military to fight effectively in an urban environment while minimizing collateral damage

US military operations are increasingly conducted within urban environments and with these operations come the risk of increasing the number of civilian casualties and infrastructure damage. The use of non-lethal weaponry, such as directed-energy weapons, is one method for minimizing collateral damage. This method enables US military forces to effectively fight within urban environments through force escalation capabilities. Using a series of historical examples and future scenarios for urban warfare, this article highlights deficiencies affecting military capabilities in military urban operations, addresses the consequences of collateral damage, assesses the effectiveness of directed-energy weapons in military urban operations and encourages further funding, research and integration of non-lethal weaponry, such as directed-energy weapons, within the US military.     

近程舰炮武器系统拦截高速目标发展研究

反舰导弹的超声速特性使得现役近程舰炮武器系统的反应时间严重不足,毁伤能力明显下降.针对高速目标,分析了目标对系统的随动性能需求,研究了系统情报处理、传感器捕获跟踪及火控解算等时间特征参数、及系统毁伤能力,并提出了解决问题的初步想法.分析结果表明,可以提高近程舰炮武器系统对超高声速目标的跟踪毁伤能力,实现对该类目标的有效拦截.     

3D laser scanning strategy based on cascaded deep neural network

A 3D laser scanning strategy based on cascaded deep neural network is proposed for the scanning system converted from 2D Lidar with a pitching motion device. The strategy is aimed at moving target detection and monitoring. Combining the device characteristics, the strategy first proposes a cascaded deep neural network, which inputs 2D point cloud, color image and pitching angle. The outputs are target distance and speed classification. And the cross-entropy loss function of network is modified by using focal loss and uniform distribution to improve the recognition accuracy. Then a pitching range and speed model are proposed to determine pitching motion parameters. Finally, the adaptive scanning is realized by integral separate speed PID. The experimental results show that the accuracies of the improved network target detection box, distance and speed classification are 90.17%, 96.87% and 96.97%, respectively. The average speed error of the improved PID is 0.4239°/s, and the average strategy execution time is 0.1521 s. The range and speed model can effectively reduce the collection of useless information and the deformation of the target point cloud. Conclusively, the experimental of overall scanning strategy show that it can improve target point cloud integrity and density while ensuring the capture of target.