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.     

幅相误差对声纳均匀线列阵的影响分析

针对幅相误差是制约声纳基阵性能的重要因素,建立存在幅相误差的均匀线列阵模型,进而提出统计计算与计算机仿真相结合的方法。该方法通过计算线列阵方向性函数的统计特性,分析具有幅相误差、基元失效时均匀线列阵对基阵指标的影响。仿真证明理论分析是正确的。     

鱼雷攻击占位相关参数计算

讨论了鱼雷攻击占位机动过程中,最小占位速度和最短占位时间的计算问题,采用数值计算分析方法,得出了各种不同敌我初始态势和相对运动速度下对应最短占位时间的占位点的分布规律,推导出最小占位速度和最短占位时间的计算公式。     

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     

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.     

星载双站SAR采用距离-多普勒算法的保相成像

星载双站合成孔径雷达(SAR)的成像可以采用距离-多普勒(RD)算法.算法的距离模型可使用二次模型和直线模型,针对系统双站的特点,讨论了高精度距离模型参数的求取方法.传统RD算法采用二次模型,在斜视情况下,二次模型可能会有较大误差,主要是会影响方位向压缩,因此讨论采用直线模型对应的方位压缩因子进行成像,从而改善方位向旁瓣.成像中为了使算法能够保相,需采用合适的方位向压缩因子,使其不破坏所成像的相位信息.     

自动喷水灭火系统喷头布置探讨

依据《自动喷水灭火系统设计规范》(GB50084-2001),结合实际工程设计经验,就规范对喷头布置的一般规定在具体工程设计中可能存在的矛盾和问题进行了分析,并提出了具体解决办法。     

一种时空数据流中范围聚集查询共享策略

根据查询谓词的相似性来实现计算共享是数据流查询优化的主要策略之一,主要针对时空数据流中基于滑动窗口的范围聚集问题进行查询优化,采用时间片段和空间片段分别描述滑动窗口之间和空间范围谓词之间的重叠。提出基于时空分片技术将时空数据流元组分成互不重叠的时空片段。范围聚集查询首先基于时空片段生成中间结果,然后根据查询条件与时空片段的映射关系生成查询结果。实验表明,提出的时空分片策略能大大提高时空数据流中范围聚集查询的性能。