方位向电扫描SAR系统参数设计与仿真验证

方位向电扫描SAR(Terrain Observation by Progressive Scans,TOPSAR)是星载SAR的一种全新工作模式,这种工作模式通过天线波束在方位向扫描,在保持ScanSAR宽测绘带优点的同时,解决了扇贝效应(scalloping)问题。针对这种工作模式要求天线在方位向和距离向都进行扫描的特点,推导了方位分辨率与扫描周期的具体关系,进而分析了系统参数的约束关系,提出了适于工程设计的系统参数设计方法。最后,用TerraSAR-X的参数进行了一组设计,以该设计结果为输入参数,运用SBRAS(SpaceBorne Radar Advance Simulator)进行了信号仿真,仿真结果验证了方法的有效性。     

飞行器点火爆炸通用测量装置的设计

针对飞行器试验用点火器的通用测量装置,提出了一种柱形爆炸容器的设计方法,从容器壁厚、反射超压、应用材料、容器结构以及点火器爆炸当量等方面进行考虑,计算柱形爆炸容器的压力瞬间载荷,并利用COSMOS Works软件进行应力仿真,最后通过实际飞行试验环节进行验证,回收采集系统所记录的试验数据并间接分析出点火器的工作状态,结果表明:试验结果和理论分析完全吻合,容器设计合理,从而为飞行器研制试验用点火器驱动动力装置提供必要的数据参考和支撑。     

建筑火灾防控一体化系统设计初探

介绍了建筑火灾防控一体化系统设计和数据分析的研究背景、意义和现状,明确了该系统的设计目标,进行了可行性分析,提出了系统的架构;对系统进行了详细的需求分析,包括用户角色需求、系统功能要求、系统数据要求和系统性能需求;采用面向对象分析和设计方法,对该系统进行了功能设计并进行了数据库设计,给出了数据库设计的E-R图;结合系统应用进行了总结和展望。     

提高师范生诗词鉴赏能力,加强诗歌教学设计

古典诗词的重要性决定了师范学院中文专业教育必须提高师范生古诗词的鉴赏能力,掌握古诗词鉴赏的基本方法:诵读法、以史证文法、比较异同法、诗眼分析法、情景扩展法和意境描述法。进而引导师范生将所学与所用结合起来,创造性地设计诗歌教学。     

模块化油料装备单元新型连接接头设计

模块化油料装备具有运用方式灵活、功能模块扩展能力强的优点,既能使油料装备的保障能力显著增强,又方便设计、制造、使用和维修,但各模块单元之间不易实现干式快速连接与分离。为实现油料装备模块单元快速连接、拆卸且无油料漏出,创新设计一种干式快速自封连接接头。该接头用于油料装备模块单元连接时,管路系统能自动接通;各模块单元分离时,管路系统能自动封闭,使各模块单元或组合体形成一个密封体,始终无漏油现象。该干式快速自封连接接头用于模块单元连接或分离,具有简便、快捷且无油料渗出等特点。     

基于C3D辅助的战场传感器监视系统设计与实现

首先介绍了战场传感器监视系统的定义和各国现有典型系统。其次针对战场监视特殊的应用环境,利用C3D辅助技术,将相对定位与基于三维地图环境下的绝对定位相结合,通过坐标转换和地图匹配将位置信息直观准确反映在电子地图上,设计了基于C3D辅助的战场传感器监视系统,并对该系统进行了实现。最后通过对3D-MDS(C,D)定位算法的验证结果表明,在长1000m×7m宽的道路上,布撒120个节点,对于速度为3m/s的装甲车定位误差仅为2.1687米。该系统可对定位算法的定位精度进行评测及误差进行修正,防止由于误差累积造成误差放大。     

舰载试验指挥控制系统研究与实践

针对靶场海上试验发展的综合需求,对舰载试验指挥控制系统发展的必要性及现状进行了分析,重点从与靶场其它系统的接口关系、系统功能、体系结构及软件设计几方面完成了系统总体设计研究,最后阐述了系统实现过程的关键技术。实践表明,该系统的应用大大提高了海上试验指挥水平。     

【专题】基于深度学习及FPGA的装备目标检测研究

本文应用深度学习技术实现海天背景下基于可见光、红外方式成像的舰船及角反、烟幕干扰的目标检测,这也是反舰导弹作战使用的关键技术之一。采集的可见光与红外成像目标检测数据集涵盖实施典型干扰下的态势场景,贴近实战;结合四种不同的目标检测机制,选取YOLOV3、Faster R-CNN、SSD及CenterNet四种典型模型分别进行训练与验证,通过对比分析进一步提高弱小目标、复杂干扰态势的的检测,可以实现端到端的高精度装备目标检测模型。在确保精度的前提下基于现场可编程门阵列（FPGA）进行软硬件协同设计,通过对比分析选定基于Vitis AI的实施方案,经过模型的量化、编译与优化,可在保证检测效率的前提下快速实现模型的小型化部署,便于进行装备移植。研究结果表明,该研究内容可有效提高现役反舰导弹目标检测的准确率。     

Dynamic impact protective body armour: A comprehensive appraisal on panel engineering design and its prospective materials

Personal body armour is one of the most important pieces of equipment to protect human beings from various critical and fatal injuries. In today’s modern world, various organizations including law enforcement and security service have made it mandatory for their personnel to wear personal protection system while on field duty. However, the systems should comprise an improved ballistic performance, light-weighted, flexible as well as comfortable panel not only to be accepted with a wider range but also for effective performances of the consumer. Generally, the overall performances of the protective body armour could be affected by various parameters including armour design techniques, type of materials used and finishing of the panels. The current paper aims to critically review state-of-art for armour panel design techniques and the different perspective body armour materials. The paper starts by discussing the different body armour and its category. Later, the different states of technology for armour panel design (mostly for women), its problems and the possible solutions will be cited. Later, the commonly used different polymeric fibrous and the future possible advanced materials including carbon nanotube (CNT), Graphene CNT and shear thickening fluids (STFs) treated materials for developing the reinforced body armour panel will be discussed. The authors believe that this paper will enlighten useful guidelines and procedures about the different panel design techniques and current and promising future materials for researchers, designers, engineers and manufacturers working on the impact resistance body armour field.     

Interval uncertain optimization for damping fluctuation of asegmented electromagnetic buffer under intensive impact load

Aiming at the problems of demagnetization effect of electromagnetic buffer (EMB) caused by high ve-locity under intensive impact load and the difficulty and error of machining composite thin-walled long tube, a segmented EMB is proposed. The inner tube and air-gap are divided into initial segments and the traversing segments. Through theoretical analysis, impact test and simulation, it can be found that the RRF curve has two peaks. Firstly, in order to reduce the resultant resistance force (RRF) peaks, the sensitivity analysis based on optimal Latin hypercube design (OLHD) and polynomial regression was performed. The results show that the smallest contribution ratio to the dynamic response is the seventh and ninth segments of the inner tube, which are less than 1％. Then, fully considering the uncertain factors, important parameters are selected for uncertain optimization after sensitivity analysis. The in-terval order and interval probability degree methods are used to establish interval uncertain optimiza-tion model of the RRF considering robustness. The model was solved using an interval nested optimization method based on radial basis function (RBF) neural network. Finally, the Pareto front is obtained and numerical simulation is performed to verify the optimal value. It indicates that the two kinds of RRF peak is obviously reduced, and the optimization object and strategy are effective.