Identification of uncatalogued LEO space objects by a ground-based EO array

A ground-based electro-optical (EO) array, deployed at the Jilin Space Tracking Base of Changchun Observatory, China, has been in operation since April 2017. The array has 8 small telescopes, each has an aperture of 15 cm and a field of view of 14° × 14°. On average, the array can collect angles data over 3–4 thousand Very Short Arcs (VSAs) of Low Earth Orbit (LEO) space objects each night. Correlation of the VSA angles data with the NORAD catalogue objects results in about 85% of all the VSAs being correlated to NORAD objects. The remaining 15% VSAs angles data could be supposed from uncatalogued objects. The Initial Orbit Determination (IOD) solutions of the VSAs with the range-search method and the association results of the IODs with the geometrical method are presented. The mean IOD success rate is about 91% and the True Positive (TP) rate is more than 86%. In addition, the classical Gauss, Laplace, Gooding and Double-r angles-only IOD methods are applied to process VSA angles data and their performance is assessed. The CBTA method is used to associate the IOD tracks and compared with the geometrical method. A set of procedures for identifying the uncatalogued objects based on the VSA angles data is designed. Processing of the VSA angles data from Aug 4 to Sep 30, 2017 reveals there are possibly 415 uncatalogued LEO objects.     

基于熵权的灰色关联概率数据关联算法

在多目标信息融合中,通过数据关联判断来自不同传感器的数据是否代表同一个目标,传统数据关联一般采用联合概率数据关联算法,单纯依靠状态量测且计算复杂。而基于灰色关联的概率数据关联算法,能够利用目标的多个特征信息进行数据关联,且计算简单准确。特征信息一般由专家主观判断给出。提出了基于熵权的灰色关联概率数据关联算法,由量测数据自适应的给出各特征的权重系数,不依赖于专家。仿真表明,该关联算法具有很好的工程实用性。     

基于相似参数的冲压发动机调节规律设计方法

调节规律对于冲压发动机设计,运行和控制都是十分重要的,冲压发动机工作在宽马赫数、大空域的范围内,由于冲压发动机工作状态受到多种因素影响,冲压发动机调节规律设计将是比较困难的。本文基于马赫数相似准则,定义了用以描述冲压发动机相似工作状态的相似参数,并给出了冲压发动机调节规律的设计方法,仿真结果表明了此方法是有效和简单化的,具有较好的工程应用价值。     

Track Association for Dynamic Target Tracking System Based on AP Algorithm

Track association of multi-target has been recognized as one of the key technologies in distributed multiple-sensor data fusion system,and its accuracy directly impacts on the performance of the whole tracking system.A multi-sensor data association is proposed based on aftinity propagation(AP)algorithm.The proposed method needs an initial similarity,a distance between any two points,as a parameter,therefore,the similarity matrix is calculated by track position,velocity and azimuth of track data.The approach can automatically obtain the optimal classification of uncertain target based on clustering validity index.Furthermore,the same kind of data are fused based on the variance of measured data and the fusion result can be taken as a new measured data of the target.Finally,the measured data are classified to a certain target based on the nearest neighbor ideas and its characteristics,then filtering and target tracking are conducted.The experimental results show that the proposed method can effectively achieve multi-sensor and multi-target track association.     

Investigation of national policy shifts to impact orbital debris environments

Low earth orbit has become increasingly congested as the satellite population has grown over the past few decades, making orbital debris a major concern for the operational stability of space assets. This congestion was highlighted by the collision of the Iridium 33 and Cosmos 2251 satellites in 2009. This paper addresses the current state of orbital debris regulation in the United States and asks what might be done through policy change to mitigate risks in the orbital debris environment. A brief discussion of the nature of orbital debris addresses the major contributing factors including size classes, locations of population concentrations, projected satellite populations, and current challenges presented in using post-mission active debris removal to mitigate orbital debris. An overview of the current orbital debris regulatory structure of the United States reveals the fragmented nature of having six regulating bodies providing varying levels of oversight to their markets. A closer look into the regulatory policy of these agencies shows that, while they all take direction from The U.S. Government Orbital Debris Mitigation Standard Practices, this policy is a guideline with no real penalty for non-compliance. Various policy solutions to the orbital debris problem are presented, ranging from a business as usual approach to a consolidated regulation system which would encourage spacecraft operator compliance. The positive aspects of these options are presented as themes that would comprise an effective policy shift towards successful LEO conservation. Potential economic and physical limitations to this policy approach are also addressed.     

空战攻防对策力学准则的推广

对空战攻防对策力学准则进行了推广研究。导出考虑导弹杀伤半径不为零时的“圆捕获”的界栅方程，该方程表明“点捕获”界栅方程是“圆捕获”界栅方程的特例，给出了捕获区，逃逸区和界栅几何图形，该图形描述了界栅与视线距，视线变化率，视线角速度之间的关系；分析了导弹杀伤半径，导弹和目标机动能力的差值对导弹和目标空战效果的影响。     

航天器系统设计的可靠性准则

在对大量航天器工程案例分析的基础上,提炼出10条航天器系统（总体）设计的可靠性准则。遵循这些设计准则,将有利于航天器从系统级避免许多故障,或者消除故障对系统的影响,在阐述每条准则时,列举了一个或数个案例。     

基于互相关向量估计的自适应盲均衡算法

基于互相关估计的盲MMSE均衡算法以批处理方式估计信道输出向量和信道输入信号之间不同延时的互相关向量,得到MMSE均衡器系数。由于涉及到大型矩阵乘积,若在线实现,计算量较大。根据该算法对信道阶数过估计不敏感特性,推导出基于互相关向量估计的盲MMSE均衡的自适应实现算法。自适应算法将矩阵和矩阵相乘转换为矩阵和向量的相乘,大大减少了均衡系数更新计算量,计算量仅为O(K2)(K为矩阵维数)。仿真结果显示自适应算法的收敛性能远远优于目前存在的自适应算法。     

多传感器静态数据分配问题的匈牙利解法

多目标多传感器数据关联中的分配问题一直是数据融合领域中的一个关键问题，众多的研究都提出了一系列不同的方法来解决这个NP-hard问题，本文提出了用2维分配问题的匈牙利解法来解决该问题，给出求解2－D，3－D分配的方法，经仿真计算表明，该法能较大程度地降低计算量，是一种实用性很好的方法，同时也值得向更高维的情况作进一步的研究和仿真比较。