Forecasting magnetopause crossing locations by using Neural Networks

Given the highly complex and nonlinear nature of Near Earth Space processes, mathematical modeling of these processes is usually difficult or impossible. In such cases, modeling methods involving Artificial Intelligence may be employed. We demonstrate that data driven models, such as the Neural Network based approach, shows promise in its ability to forecast or predict the behavior of these processes. In this paper, modeling studies for forecasting magnetopause crossing locations are summarized and a Neural Network algorithm is presented to describe the nonlinear time-dependent response of the subsolar region of the magnetopause to varying solar wind conditions. In our approach the past history of the solar wind has, for the first time to the best knowledge of the authors, been included in forecasting the subsolar region of the magnetopause. It is proposed that the data driven approach is a valid approach to understanding and modeling the physical phenomena of Near Earth Space. The only basic requirement for the data driven approach is the availability of representative data for the phenomena. The objective of this paper is to demonstrate that by using WIND and GEOTAIL satellite data a Neural Network based model can be adapted to the modeling of the Earth’s magnetopause.     

中继卫星系统地面云存储架构设计

针对中继卫星系统日益增长的海量数据存储需求,探索将云技术应用于中继卫星地面存储系统中,研究并设计了适用于中继卫星系统的分布式云存储的体系架构.该架构通过分布式存储和存储虚拟化技术,对存储资源进行了整合,将分布在不同地理位置上的存储网络,集合成一个大规模广域云存储系统,可提供整体存储和访问的功能,并实现对数据的高效“存”、“取”、“管”.与传统NAS(Network Attached Storage,网络附加存储)架构分析比较,该架构从系统扩展性、可靠性和服务性等多个方面均更加具有优势,能够适应日益增长的中继卫星系统海量数据存储需求,解决中继卫星系统中大容量数据存储的瓶颈.     

Prediction of ionospheric total electron content using adaptive neural network with in-situ learning algorithm

The Ionospheric Total Electron Content is responsible for the group delay of the signals from the Navigation satellites. This delay causes ranging error, which in turn degrades the accuracy of position estimated by the receivers. For critical applications, single frequency receivers resort to Satellite Based Augmentation Systems in order to have improved accuracy and integrity. The performance of these systems in terms of accuracy can be improved if predictions of the delays are available simultaneously with real measurements. This paper attempts to predict the Total Electron Content using adaptive recurrent Neural Network at three different locations of India. These locations are selected at the magnetic equator, at the equatorial anomaly crest and outside the anomaly range, respectively. In-situ Learning Algorithm has been used for tracking the non-stationary nature of the variation. Prediction is done for different prediction intervals. It is observed that, for each case, the mean and root mean square values of prediction errors remain small enough for all practical applications. Analysis of Variance is also done on the results.     

Proposed strategies for optical observations in a future European Space Surveillance network

Two ESA-funded feasibility studies that aimed to develop observation strategies, to propose suitable sensor architectures, and to assess the expected performance of an independent European Space Surveillance System were carried out during the last years. The French company ONERA led two study teams comprising a number of European companies.     

运动工件上字符识别系统研究

在恶劣的工业现场环境中，拍摄的工件图像会失真，为此提出了在一定噪声和模糊范围内能够正确识别字符标号的方法。工件在传送过程中可能发生偏移，使得被测件与摄像镜头的相对位置不确定，所获得的图像会发生偏转或平移，为此提出了解决字符的平移，缩放及旋转问题的方法；设计了神经网络识别系统。     

CCSDS下行链路虚拟信道调度方法及其性能分析

描述了分包遥测的信源特点 ,并在此基础上提出了传送层虚拟信道划分和使用原则 ;利用轮询系统的方法建立了虚拟信道调度模型 ,从系统延时性能和缓存分配原则的角度 ,分析了不同信源组合下不同调度策略对系统可能造成的性能影响 ;提出了不同信源条件下适宜的调度策略和缓存分配策略。结果可为系统早期设计提供参考     

基于光纤通道的航空电子网络研究

介绍先进综合化航空电子系统结构及先进综合化航空电子系统对采用光纤统一网络互连的要求;列举光纤通道(FC)互联网络的高可靠性、容错性和确定性等指标,并评估其适于作为新一代航空电子系统互连标准;描述FC在未来航空电子系统应用中复杂的体系结构和多种上层映射协议共用的解决方案;介绍1553上层映射(FC-AE-1553)、虚拟接口结构上层映射(VIA ULP)、音频视频上层映射(FC-AV)等三种FC的上层映射协议适用于未来航空电子系统应用的特点,分析三种上层映射协议在未来航空电子系统中的应用。     

利用BP网络校正跟踪接收机的相位漂移

针对跟踪接收机不同通道之间相位差的漂移问题,提出利用BP神经网络作为校正环节来消除此相位漂移。通过原理分析用数学方法描述跟踪接收机存在的相位漂移问题,介绍BP神经网络的网络模型和一种动态全参数自适应学习算法,进而提出基于BP神经网络的相位漂移校正算法。仿真结果表明,该方法的相位校正效果较好,不仅保证了系统的角跟踪精度,而且实现了高度的自动化。     

Switching and performance variations of on-orbit BDS satellite clocks

The information of the satellite clock switching and performance variations on-orbit of Chinese BeiDou-2 Navigation System (BDS) is not available for the public. In order to detect the BDS satellite clock switching and performances variation, we analyzed the precise clock offset products with a total duration of 5?years every BDS satellite equipped four atomic clocks from four different manufactures from January 2013 to October 2017. Three important contributions are concluded as follows. (1) It is found that the average time of on-orbit operation for BDS satellite clocks is about 1–2?years. There have been 22 times of clock switching for BDS satellites, of which the C05 and C08 satellites have been switched to the fourth (last) atomic clock. (2) There are frequent phase adjustments for BDS on-orbit satellite clocks, and the frequency series is relatively stable. Furthermore, there are semi-annual sinusoid cycles in the frequency drift series of C06 and C09 satellites. (3) The performances of MEO satellite clocks perform better than the IGSO and GEO satellite clocks. The average ten-thousand frequency stability of BDS satellite clocks is about 1E-13, which is worse than that of GPS and Galileo but better than that of GLONASS.     

信息流量监控技术及其应用

针对试验信息系统在流量监控方面的迫切需求,提出了一种信息流监视分析系统的设计方法。首先对现有信息流量监视技术及信息流量控制技术进行了介绍,然后对信息流监视分析系统的主要特点、总体设计、应用层协议、系统功能及系统接入方式进行了详细设计。初步试用情况表明,该系统能实时监视各种应用协议在网络中的传输情况和应用分布情况,能及时发现并报告网络拥塞情况和违规报文,保障实时任务数据的可靠传输。