Reduction of satellite electromagnetic scattering by carbon nanostructured multilayers

We propose a low observable satellite covered by layered materials. The dielectric properties of the composite materials are analyzed using the coaxial air-line method. Our solution could result in cost-effective applications for satellite stealthness. The particle swarm optimization algorithm is used to design and optimize layered absorbers. The obtained reflection is below −20 dB in many frequency subranges, also under an oblique incident condition, within the band 2–18 GHz. The optimized layered absorbers are used as a cloak for cube satellites. In particular, we investigated a very simple geometry by using a finite element commercial software in the band from 2 to 18. Finally, the transmission through an aperture on the satellite surface is analyzed. It is highlighted that the optimized layered absorbers attenuate the electric field within the satellite, improving its immunity against electromagnetic interferences.     

天/地基多平台空间目标光电观测时效性分析

针对如何部署光学探测设备才能更好实现对空间目标的高精度高频度监视问题,考虑光照条件、相对关系及探测性能,构建了天/地基空间目标探测与成像仿真模型;按照轨道特征选取了94颗LEO（Low Earth Orbit,低地球轨道）卫星、63颗GEO（Geosynchronous Earth Orbit,地球同步轨道）卫星和18颗大椭圆轨道卫星,选用春夏秋冬典型季节的特定时间长度,仿真分析了国内地基、南北极科考站、LEO卫星、准GEO卫星等多平台光电手段的位置探测和成像观测能力;比对分析地基平台纬度和季节、天基平台轨道高度和倾角对探测能力的影响得出：南北极科考站相比于国内站点可提高重点季节的探测时效性,98°倾角LEO平台对低轨目标成像时效性方面更具优势,等.在此基础上,提出了我国空间目标光电观测设备天地一体的布局构想.     

空间目标态势行为与事件本体设计与构建

针对空间目标态势威胁响应和预警研究不完善的问题，为实现空间目标行为和事件的智能推理、实时响应和主动预警，保障航天活动和空间利益，提出面向行为与事件的空间目标态势本体模型(BEO-SO2)。基于基本形式本体(BFO)，构建空间目标态势行为与事件本体模型。在统一时空框架下建立空间目标关系模型，实现空间目标行为执行和事件发生过程的动态推演。以空间目标碰撞威胁为背景，设计对象实体等级体系和碰撞威胁行为与事件要素，建立碰撞威胁推理规则，基于空间目标态势行为与事件本体进行实现、验证与展示。结果表明,空间目标态势行为与事件本体能够实现空间目标碰撞威胁的等级推理与预警，并指导进一步的空间活动，为航天任务与空间活动提供有效保障。     

Space object material identification method of hyperspectral imaging based on Tucker decomposition

Space object material identification method based on Tucker decomposition is proposed and demonstrated experimentally. Space target generally has a low spatial resolution because of the limitation in detection distance. Hyperspectral imaging (HSI) technology can capture the image from visible light to shortwave infrared continuously while providing the spatial and spectral information of the target, thereby introducing a new space target detection and identification approach. However, the data obtained by the HSI system often contain mixed pixels, thereby causing difficulties in target material identification. In this work, a material identification method of hyperspectral data based on Tucker decomposition is proposed by combining mixed spectral theory with tensor decomposition. The feasibility of the method is verified by using satellite model hyperspectral data with different spatial resolutions compared with the endmember obtained from the non-negative matrix decomposition (NMF), independent component analysis (ICA), tensor singular value decomposition (t-SVD). The average CORR of NMF, ICA, t-SVD and the proposed method is 0.2694, 0.5818, 0.6397 and 0.937, correspondingly. Therefore, the proposed method has demonstrated a more remarkable performance in terms of material identification, the analysis results of the material abundance distribution that used the proposed method.     

改进的SURF算法及其在电视制导中的应用

针对电视制导应用,提出了一种改进的SURF特征描述子目标跟踪算法。首先对SURF特征描述子的生成过程进行了改进,利用三角特征和对角特征设计了改进的SURF特征描述子,在保证区分能力的基础上提高了运算速度;基于SURF特征点匹配,设计了电视制导的匹配跟踪策略。仿真试验证明,基于改进SURF特征描述子的跟踪算法满足电视制导需求,同时运算速度达到了26f/s,比改进前提高了一倍以上,满足实时性要求。     

Moving object detection using color distribution motion enhancement and comparison

为检测无人机视频中的地面运动目标,提出了一种运动和颜色信息相结合的算法,采用前向运动历史图像来增强独立运动信息和抑制背景噪声,确保完整分割出候选运动区域;提出一种迭代的、基于局部颜色分布比对的方法,去除候选区域中的背景像素,以更准确地提取单个运动目标,算法不仅节约了计算量,还有效降低了误检和漏检的可能性．多组无人机视频的实验结果表明了所提算法的高效性和鲁棒性。     

An Improved Double r-iteration IOD Method for GEO UCTs Based on SBSS System

The purpose of initial orbit determination, especially in the case of angles-only data for observation, is to obtain an initial estimate that is close enough to the true orbit to enable subsequent precision orbit determination processing to be successful. However, the classical angles-only initial orbit determination methods cannot deal with the observation data whose Earth-central angle is larger than 360°. In this paper, an improved double r-iteration initial orbit determination method to deal with the above case is presented to monitor geosynchronous Earth orbit objects for a spacebased surveillance system. Simulation results indicate that the improved double r-iteration method is feasible, and the accuracy of the obtained initial orbit meets the requirements of re-acquiring the object.      

双级轴向涡流器文氏管长度对流场和喷雾特性影响

为了研究双级轴向涡流器文氏管长度对流场和喷雾特性的影响,通过数值计算和试验分别研究了4种文氏管长度的双级轴向涡流器方案的下游流场和匹配喷嘴的雾化特性。结果表明:随着文氏管无量纲长度由0.23增加至0.49,一级涡流器流量系数由0.98降至0.7,二级涡流器的流量系数保持0.75不变,涡流器出口旋流数由0.08增至0.48,旋流扩张角由闭合状态增至约90°,涡流器下游流场由反转回流区变为传统回流区。文氏管长度最短的方案的索太尔平均直径(SMD)和喷雾锥角受涡流器压降的影响较小,而其他方案的SMD和喷雾锥角受涡流器压降影响较大,且在相同涡流器压降和油压下,SMD和喷雾锥角随着文氏管长度增加而增大。      

RCS测试系统几何量参数综合校准技术研究

本文针对RCS测试系统的计量需求,阐述了RCS测试系统几何量参数校准技术研究情况。围绕雷达反射面型面参数、设备空间几何位置参数、定标体几何参数的有限目标开展了校准技术研究,研制了RCS测试系统的几何参数综合校准系统,并在国内几个典型的RCS测试系统进行了应用验证,初步建立了RCS测试系统几何量参数量值溯源体系,为国内RCS测试系统的量值统一、数据准确打下了坚实的技术基础。     

基于经验学习的空间机器人精细抓捕方法

机器人在空间环境下完成对复杂形状物体的精细操作,要求其具有较强的自主操作规划能力.从学习人类经验出发,模仿人类经验生成来建立经验数据库,提出有效的物体分类方法,在物体类别基础上,识别同类物体的可抓取区域,并提出“单拇指”姿态规划方法,将对物体的操作经验泛化到同类物体的操作规划中.试验证明了算法的有效性.