基于GPU的高光谱遥感主成分分析并行优化

主成分分析（principal component analysis, PCA）是高光谱遥感图像特征提取的重要方法。为了在保证精度的同时,提高高光谱遥感PCA算法的计算效率,文章提出一种基于图形处理器（graphic processing unit,GPU）＋中央处理器（central processing unit,CPU）异构系统的PCA并行优化方法。该方法利用GPU的并行计算能力实现PCA中复杂的协方差矩阵计算与维数缩减过程,优化了像元去均值的计算流程;解决了GPU内核计算像元累加和非合并访问问题;利用共享内存机制,提高了访存效率。此外,该方法采用改进的Jacobi快速迭代法在CPU中进行特征分解,保证了算法的精度。实验结果表明,该方法在保证精度的同时能够有效提高计算效率,在Quadro600平台上的加速比达到141倍,满足了高光谱遥感图像实时应用的需求。     

空间天气科学与有效和平利用空间

空间天气科学是一门新兴的前沿交叉科学。文章首先从发展历程、发展现状和发展态势角度对空间天气科学进行了系统介绍,并指出空间天气科学是经济社会发展的"助推器"、助力科技革命的"加速器"和关系空间安全的"倍增器";接着对空间天气科学与有效和平利用空间的关系进行了阐述;最后对我国空间天气科学的发展和对人类的服务前景进行了展望,并给出了制定和实施"国家空间天气十年计划"和"空间天气科学服务和平利用空间国家专项"建议的初步构想。     

Modeling and parameter identification of linear time-varying systems based on adaptive chirplet transform under random excitation

In this paper, a time–frequency algorithm based on adaptive chirplet transform for parameter modeling and identification of Linear Time-Varying (LTV) systems under random excitation is presented. It is assumed that the solution of responses of LTV structures is expressed as the sum of multicomponent Linear Frequency Modulated (LFM) signals in a short-time. Then the measured acceleration response is used to perform the adaptive chirplet transform, in which an integral algorithm is employed to reconstruct the velocity and displacement responses. The vibration differential equation with time-varying coefficients is transformed into a simple linear equation. Furthermore, for systems under random excitation, the input–output relation based on correlation function is also derived to estimate the parameters including physicals parameters and instantaneous modal parameters. The full procedure of the method is presented and validated by using simulated responses. The results show that the presented method is accurate and robust for various LTV systems under random excitation.     

Distributed event-triggered adaptive control for second-order nonlinear uncertain multi-agent systems

In this paper, the event-triggered consensus control problem for nonlinear uncertain multi-agent systems subject to unknown parameters and external disturbances is considered. The dynamics of subsystems are second-order with similar structures, and the nodes are connected by undirected graphs. The event-triggered mechanisms are not only utilized in the transmission of information from the controllers to the actuators, and from the sensors to the controllers within each agent, but also in the communication between agents. Based on the adaptive backstepping method, extra estimators are introduced to handle the unknown parameters, and the measurement errors that occur during the event-triggered communication are well handled by designing compensating terms for the control signals. The presented distributed event-triggered adaptive control laws can guarantee the boundness of the consensus tracking errors and the Zeno behavior is avoided. Meanwhile, the update frequency of the controllers and the load of communication burden are vastly reduced. The obtained control protocol is further applied to a multi-input multi-output second-order nonlinear multi-agent system, and the simulation results show the effectiveness and advantages of our proposed method.     

Entropy based inverse design of aircraft mission success space in system-of-systems confrontation

This paper presents a practical and efficient design method for aircraft Mission Success Space (MSS) based on the entropy measurement (EM). First, fundamentals regarding MSS, Inverse Design (ID) and entropy are discussed. Then, two EM schemes of entropy-based ID and the whole MSS ID procedure are given to demonstrate alternative ways of entropy quantification and MSS design. After that, Genetic Algorithm (GA) is utilized as a search algorithm to find the optimal MSS design with the minimum objective, entropy, in each EM scheme. A simulation case of aircraft penetration mission is given for the method validation where the best aircraft MSS design is obtained by GA according to the minimum entropy. Results from two schemes are compared at the end.     

复杂环境下翼伞系统的组合式航迹规划

传统翼伞系统的航迹规划主要考虑落点精度及逆风着陆等指标,而当空投区域环境较为复杂,在翼伞系统归航路径上存在障碍时,如何规避这些障碍也成为翼伞系统航迹规划所必须要考虑的因素。针对翼伞空投过程有可能遇到高山或者高大建筑物阻碍的问题,提出了一种复杂环境下翼伞系统的组合式航迹规划策略。该方法将翼伞空投的区域分为障碍区和着陆区,在障碍区中采用快速搜索随机树（RRT）算法进行可行路径搜索,考虑到RRT算法生成的轨迹包含棱角,导致路径不够平滑的问题,结合翼伞系统质点模型的运动特性,对其进行了适用性改进,以使规划的航迹满足实际翼伞空投需求。为了解决RRT算法搜索方向随机,难以满足逆风着陆的问题,当翼伞系统进入着陆区后采用分段归航的方式设计航迹,并借助遗传算法（GA）求解目标参数,实现翼伞系统能量控制及逆风着陆。提出的复杂环境下翼伞系统的组合式航迹规划策略求解速度较快,能够同时满足翼伞系统避障、能量控制及逆风着陆要求,得到的参考航迹较为平滑。     

实现分数阶傅里叶变换的光学系统及其应用

在综合了国内外有关文献的基础上,简述了分数阶傅里叶变换的发展过程。利用光学传输矩阵分析了分数阶傅里叶变换的3个基本的光学实现系统。对分数阶傅里叶变换的应用现状进行了归纳总结,同时就其发展方向做出了展望。     

先进战斗机综合机电系统试验技术研究

从综合机电系统试验需求和技术发展方向角度出发,提出了完善战斗机机电系统研制试验辅流程的思路,阐述了综合机电系统半物理试验、机电综合控制试验及综合热管理试验等方面的必要性,研究了综合机电系统半物理试验及综合物理试验的方法,形成了先进战斗机综合机电系统试验初步规划方案。     

中国探月工程发展及对空间环境与材料研究的需求

文章首先介绍了中国探月工程的发展规划,包括已取得和预期取得的科技成果;随后对我国未来深空探测提出发展设想并进行展望;最后指出探月工程的发展很大程度上受制于对空间环境的认识以及高性能新材料的开发与应用技术,因此必须加强这两方面的研究。     

基于星载分布式InSAR测高精度的导航卫星优选

从干涉合成孔径雷达（InSAR）测高精度需求出发,分析整个流程中的综合观测几何,联合InSAR对地观测参数、全球卫星导航系统（GNSS）对编队卫星观测参数和坐标系转换参数,建立了导航卫星的优选准则,理论推导了InSAR高程的误差传播系数。该准则直接针对InSAR高程精度进行优化选星,表征了综合几何关系下基线各分量对测高误差的贡献。仿真结果与理论推导相吻合,并给出了不同卫星导航系统、不同选星个数以及不同InSAR参数配置等多种场景下的结果比对。新准则相比以往基于最小相对精度衰减因子的选星准则,能够更好地反映实际几何关系,从而在相同观测条件下通过卫星优选得到更高的测高精度。