空间电子学的发展与展望

文章介绍了作者对于空间电子学内涵和学科体系的认识,试图对于空间电子学的发展和展望予以简要说明。     

航天光学遥感器光学装调技术现状与展望

航天光学遥感器工作于太空中,长期恶劣的空间环境及短暂发射入轨时的状态对光学系统的设计与装调提出了苛刻的要求,确保光学系统在轨像质优异是航天光学遥感器研制的关键技术.文章结合国际上航天光学遥感器的发展需求对光学系统装调技术及发展现状进行了分析、总结,提出了中国后续航天光学遥感器装调与测试技术的突破方向.     

异构无人系统协同作战关键技术综述

针对异构无人系统的规模、异构性强弱,对异构无人系统进行了分类,引入了异构无人系统协同作战班组的概念以及应用设想,并通过城市环境中异构无人系统协同作战问题为牵引,提出了异构无人系统协同作战面临的挑战与解决思路,在此基础之上,从异构无人系统协同控制架构、协同任务规划、智能交互、目标感知、环境感知等主要方面对异构无人系统协同作战的关键技术进行了分析,最后对异构无人系统协同作战目前的研究进展与挑战进行了总结。     

首颗自主地月转移微卫星“龙江二号”

本文对世界首颗独立完成地月转移、近月制动、环月飞行的微卫星“龙江二号”进行了介绍。首先阐述了龙江二号的任务目标和总体方案;然后重点分析了轨道设计与控制、复杂电磁干扰的标定与抑制、宽视场三维基线干涉测量等关键技术难点;接着回顾了任务的实施过程;最后详细介绍了低频射电探测仪、沙特光学相机和VHF/UHF通信模块与学生微型CMOS相机等有效载荷,并展示了上述载荷获取的初步成果。     

地月空间探索与开发的思考

提出了地月空间探索与开发的概念,对全球发展态势进行了总结,从人类文明、太空格局、战略安全、科技经济全方位发展等维度阐述了我国开展地月空间探索与开发的发展需求;并提出了地月空间探索与开发的体系组成、能力需求和技术难点,从科学、经济和工程三个方面分析了发展效益,最后给出了发展路线;研究成果可为未来大规模开展地月空间探索与开发提供参考。     

中国空间探测领域40年发展

中国空间科学学会成立的40年,是中国空间探测逐渐走进世界舞台的40年,空间探测极大推动了空间科学和相邻学科的发展,也影响到经济、军事和日常生活诸多方面.本文简要回顾了从空间探测专业委员会成立的1980年至今,中国空间探测领域的主要发展历程,包括探空火箭、高空气球、科学卫星、月球与行星探测、载人航天空间探测、遥感卫星地面...     

空间激光通信系统光斑小目标跟踪算法研究

在空间激光通信链路中,大气湍流、结构设计误差、平台扰动等因素为链路的精确对准和精密跟踪带来了困难。为提高激光链路的跟踪精度,首先对光斑跟踪过程中的影响因素进行研究分析,继而对跟踪算法做出改进。针对跟踪目标特性,设计了一种自适应模板目标相关跟踪算法,并搭建了基于粗精复合轴跟踪系统的实验平台,开展了实验验证。结果表明：与当前常用跟踪算法相比,该设计处理速度可达 1 kfps,目标跟踪位置与真实位置基本重合,目标跟踪准确率高于98%,在处理速度、跟踪准确率与算法鲁棒性上均有较大提升,具有一定的实用性。     

模块化开放式航空电子系统架构标准研究

国外对开放式系统架构（OSA）概念的探索至今已有40多年。美国国防部模块化开放式系统方法（MOSA）正是建立在OSA概念之上,综合了采办和工程方法,来实现低成本、优化和快速能力升级的武器系统灵活开发。本文将集中讨论MOSA构建方法及其开放式架构的最佳实践,包括开放式任务系统、未来机载能力环境和传感器开放式系统架构。最后,本文讨论了MOSA在开放式架构上开展的工作及其挑战,以期对我国在航空电子OSA标准研究和实践上有所裨益。     

The benefits brought by space—General public versus space agencies perspectives

Space agencies and governments have been long striving to find justification for the budgets allocated to non-commercial space missions. The most frequent justifications were scientific discoveries, technological development as well as national prestige. The current study aims to have a different look at the question “Which are the benefits brought by space?” by investigating/sampling/interrogating the public opinion and identifying the perception and view of the generation that form the bulk of the taxpaying citizens for the immediate future and will be actively financing any future missions. The study focuses on the answers provided to an online survey by an international sample of population. The target individuals are in the age range of 25–44 and are users of social networks. They are either employed or students, but they are not directly involved with the space sector. The survey aims to establish whether the promotional activities of ESA, NASA and other space agencies are aligned with the perceived benefits of this sample population. Is space contributing to what the target people consider important? What could be done to improve/change this perception? How did the public perception evolve? Which are the biggest problems humanity is confronted with today according to the sample population? Could space help addressing these major problems? The paper will firstly present the statistical analysis of the sample answers and the conclusions that can be drawn from them. In a second step it will compare the perceptions and expectations of the public in regards to space with the current space agencies strategies and identify the gaps and discontinuities.     

Vision-based pose estimation for cooperative space objects

Imaging sensors are widely used in aerospace recently. In this paper, a vision-based approach for estimating the pose of cooperative space objects is proposed. We learn generative model for each space object based on homeomorphic manifold analysis. Conceptual manifold is used to represent pose variation of captured images of the object in visual space, and nonlinear functions mapping between conceptual manifold representation and visual inputs are learned. Given such learned model, we estimate the pose of a new image by minimizing a reconstruction error via a traversal procedure along the conceptual manifold. Experimental results on the simulated image dataset show that our approach is effective for 1D and 2D pose estimation.