A Space Debris Primer for Astronomers

In this journal, 'space debris' usually carries implications of aerospace activities, but it was not always thus. Humankind has been concerned with sky debris (often not knowing it was that) since eyes were turned skyward. Before space exploration began, astronomers specialized in comet tails, asteroids, meteorites, aurorae and zodiacal light. It was inevitable that they stay near the forefront of the new space technologies, even before Explorer I explained the aurorae. Now, the emphasis is on manmade debris, for the simple reason that an astronomical experiment proved that to be the preponderant component of the total debris environment. We present here a review survey of the total near-Earth debris complex, artificial and cosmic. Our goal is three-fold: (1) To detail to both astronomers and spaceflight specialists the long and heavy astronomical activity, (2) to give an overview of what has been and is being done, and (3) to suggest some possible directions for the future.     

Sq（Y）的季节变化和场向电流

本文对中国东部地磁台站链地磁静日变化东向分量进行了分析,有结果表明,在冬、夏季清晨,南北半球之间存在着电离层发电机驱动的场向电流,其方向是从夏季半球到冬季半球;在黄昏,也可能存在方向相反的电流。     

利用射电天文观测数据确定电离层行扰速度的新方法

当米波射电望远镜的观测视场内，有三个以上的射电源时，考虑天线跟踪的影响，提出了一种确定电离层行波扰动水平速度的新方法，并给出计算实例，讨论了误差。     

基于伪距和观测量的地球同步卫星动力学定轨研究

利用伪距和观测量对同步卫星进行了动力学定轨的研究，给出了伪距和观测量的测量方程和修正方法，采用国内4个监测站的模拟数据进行了仿真计算．结果表明，采用7天弧长伪距和数据进行轨道改进及轨道外推的精度，与5天弧长数据的计算结果相当，但远优于3天数据的计算结果．在观测随机误差为3m时，7天弧长数据定轨精度约为5m，预报7天径向精度优于20m．     

一种基于星间方向观测的初轨计算方法

基于天基网空间监测的技术背景,用一已知轨道的天基观测平台对不明空间目标的方向观测,在定轨精度要求并不太高的要求下,研究了单颗卫星的天基平台定初轨的问题,并提出了一套基于此观测模型的中低轨空间目标的初轨计算方法。通过模拟生成测角资料对方法进行检验,计算结果显示方法在目前提出的定轨精度下是稳健可行的。     

冻结轨道及其应用

近来在对地观测卫星系统的设计中越来越多地采用冻结轨道,因为它能使卫星(作为一个质点)在不同时刻通过同一纬度时具有相同的运动特性,这就使得卫星在不同时刻经过同一地区所得到的遥感图片具有相同的几何特性。本文详细地讨论了冻结轨道条件、性状及其应用     

翼伞归航准则及测风原理探讨

翼伞作为一种新型气动力减速器日渐受到空间回收技术重视。文中给出了具有非比例自动归航控制的翼伞系统的归航准则(考虑到风的影响)以及利用GPS测量数据计算风场的公式。     

The GFZ real-time GNSS precise positioning service system and its adaption for COMPASS

Motivated by the IGS real-time Pilot Project, GFZ has been developing its own real-time precise positioning service for various applications. An operational system at GFZ is now broadcasting real-time orbits, clocks, global ionospheric model, uncalibrated phase delays and regional atmospheric corrections for standard PPP, PPP with ambiguity fixing, single-frequency PPP and regional augmented PPP. To avoid developing various algorithms for different applications, we proposed a uniform algorithm and implemented it into our real-time software. In the new processing scheme, we employed un-differenced raw observations with atmospheric delays as parameters, which are properly constrained by real-time derived global ionospheric model or regional atmospheric corrections and by the empirical characteristics of the atmospheric delay variation in time and space. The positioning performance in terms of convergence time and ambiguity fixing depends mainly on the quality of the received atmospheric information and the spatial and temporal constraints. The un-differenced raw observation model can not only integrate PPP and NRTK into a seamless positioning service, but also syncretize these two techniques into a unique model and algorithm. Furthermore, it is suitable for both dual-frequency and sing-frequency receivers. Based on the real-time data streams from IGS, EUREF and SAPOS reference networks, we can provide services of global precise point positioning (PPP) with 5–10 cm accuracy, PPP with ambiguity-fixing of 2–5 cm accuracy, PPP using single-frequency receiver with accuracy of better than 50 cm and PPP with regional augmentation for instantaneous ambiguity resolution of 1–3 cm accuracy. We adapted the system for current COMPASS to provide PPP service. COMPASS observations from a regional network of nine stations are used for precise orbit determination and clock estimation in simulated real-time mode, the orbit and clock products are applied for real-time precise point positioning. The simulated real-time PPP service confirms that real-time positioning services of accuracy at dm-level and even cm-level is achievable with COMPASS only.     

人工智能在卫星任务规划中的应用

智能规划与调度是实现卫星自主规划其飞行任务的关键。将人工智能方法应用于卫星的任务规划,以执行对地观测任务为例,将任务规划问题归于组合优化问题,建立了相应的数学模型,并应用Hopfield神经网络算法进行求解,结果表明,该方法可用于单个仪器的任务规划。     

一种具备星间链路的中轨对地观测星座设计

采用轨道高度为2165.6 km、回归周期为1天的太阳同步回归轨道建立了一个包含6颗卫星、具备星间链路的中轨对地观测星座。通过卫星自身的侧摆姿态机动功能,可以实现对同一目标1天之内的多次观测,以完成区域性准实时成像、灾害灾情监测等任务,极大地提高了观测的时间分辨率。在星座内部,相邻两颗卫星之间建立了5000 bit/s码速率测控和250 Mbit/s码速率数传的星间链路,能够充分利用单颗卫星在境内的可视弧段,通过地面与单颗卫星建立星地链路就可以同时完成与所有卫星的星地通信。