基于QoS的卫星网络端-端通信可靠性分析

针对卫星网络动态环境下的高速信息传输、业务类型差异大等特点，提出一种综合考虑各业务QoS（Quality of Service）指标的可靠性分析方法。在卫星通信网络实际运行周期内，通信系统往往处于逐渐劣化过程中，导致卫星的节点和链路除正常工作和完全失效外，还存在部分失效的工作状态。本文在链路多状态基础上基于最小路集算法（Minimum Path Set Algorithms，MPSA）在不同业务的QoS指标（时延、带宽和丢包率）约束下，得出满足该业务QoS约束的所有可靠路径集，对路径集中路径进行不交化处理得到网络端-端可靠性。研究结果表明，不同业务由于QoS需求的差异导致网络端-端可靠性不同，所提算法与传统算法相比更加符合实际。由于实际卫星网络环境中会采用端-端并行多路径传输（Multi-Path Transmission，MTP），本文在上述研究的基础上，进一步对多路径的端-端可靠性进行了研究，结果表明多路径数据传输可靠性高。     

Single event upset investigations on the “Flying Laptop” satellite mission

The radiation effects in electronic parts are called single-event effects, which are deemed to be critical for space missions. This paper presents the Single Event Upsets that were observed in an onboard memory device of the Low Earth Orbit “Flying Laptop” satellite mission during its in-orbit operation. The Single Event Upsets were carefully mapped on the satellite orbital space itself and their root causes were investigated together with their rates of occurrence. Subsequently, the events were traced to show several root cause sources such as (i) trapped energetic protons leaking to low altitudes within the South Atlantic Anomaly, (ii) Solar Energetic Particles emitted by an impulsive event on 10 September 2017, and (iii) Galactic Cosmic Rays. A profound analysis was carried out on the observed flight data, and its corresponding results are actually in agreement with the standard energetic particle models. The presented results provide another important insight on the Single Event Upsets for future Low Earth Orbit satellite missions.     

“高分五号”全谱段相机可展开定标漫反射板设计

为了对“高分五号”卫星全谱段光谱成像仪的太阳反射谱段辐射性进行长期监测与校正，并针对其谱段范围宽、精度要求高、口径大、使用寿命长等特点与要求，优化设计了可展开的漫反射板进行全光路全视场的辐射定标。定标漫反射板安装在相机光学系统的前端侧面，不影响相机正常成像，在定标时通过驱动机构展开漫反射板到相机前端，根据“高分五号”卫星轨道特点、定标能量要求及相机安装矩阵等设计定标漫反射板展开角度为39°。研制了430mm×430mm大尺寸聚四氟乙烯漫反射板组件以保证在展开时满足全光路全视场的定标，漫反射板在420～2400nm光谱范围内半球反射率高于95%，在相机观测方向BRDF变化优于25%。同时，设计了漫反射板稳定性监视辐射计用于监测漫反射板在轨性能衰减，监测精度15%。在轨定标精度分析为476%，满足指标要求。     

Analysis of precipitable water vapour characteristics from GNSS measurements during the snow season in Liaoning Province,China

Global Navigation Satellite System (GNSS) remote sensing precipitable water vapour (PWV) data from November 2015 to March 2019 were combined with snowfall observation data and used to analyse PWV characteristics in Liaoning Province during the snow season (from November to March the following year) and their relationship with snowfall. The potential of using GNSS for PWV measurements was demonstrated using sounding data with a correlation coefficient higher than 0.9 and a mean bias error lower than 0.5 mm. According to the GNSS PWV data gathered at 30-min intervals from 68 GNSS stations in Liaoning during the snow season, the monthly PWV average was highest in November and lowest in January. Negative correlations were found between PWV and altitude. Most of the water vapour was concentrated in the low layer of the atmosphere, and the contribution of this vapour to the PWV was higher during the snow season than in summer. A total of 43 snow cases were identified using the snowfall records from 53 GNSS stations, and the characteristics of PWV during these snowfalls were analysed. An increase in PWV was observed before snowfall events. Moreover, the influence of synoptic systems and air mass origins on PWV was analysed based on National Centers for Environmental Prediction (NCEP) reanalysis data and the Hybrid Single Particle Lagrangian Integrated Trajectory (HYSPLIT) model. The results show that the water vapour condition was better when the synoptic systems or air masses came from areas south of Liaoning.     

集中监控系统在遥测传输卫星地面站中的应用

针对遥测传输卫星地面站中所使用的集中监控系统进行阐述,利用工业控制计算机为核心的集中监控技术,对遥测传输卫星地面站设备的运行情况进行远端集中控制与管理,提高管理与控制自动化程度。     

UMR: A utility-maximizing routing algorithm for delay-sensitive service in LEO satellite networks

This paper develops a routing algorithm for delay-sensitive packet transmission in a low earth orbit multi-hop satellite network consists of micro-satellites. The micro-satellite low earth orbit(MS-LEO) network endures unstable link connection and frequent link congestion due to the uneven user distribution and the link capacity variations. The proposed routing algorithm,referred to as the utility maximizing routing(UMR) algorithm, improve the network utility of the MS-LEO network for carrying flows with strict end-to-end delay bound requirement. In UMR, first, a link state parameter is defined to capture the link reliability on continuing to keep the end-to-end delay into constraint; then, on the basis of this parameter, a routing metric is formulated and a routing scheme is designed for balancing the reliability in delay bound guarantee among paths and building a path maximizing the network utility expectation. While the UMR algorithm has many advantages, it may result in a higher blocking rate of new calls. This phenomenon is discussed and a weight factor is introduced into UMR to provide a flexible performance option for network operator. A set of simulations are conducted to verify the good performance of UMR, in terms of balancing the traffic distribution on inter-satellite links, reducing the flow interruption rate,and improving the network utility.     

卫星解体碎片生成数值模拟

提出卫星解体碎片生成的数值模拟方法,对卫星模型解体实验问题进行了数值模拟研究。有限元重构方法是一种有限元与 SPH 方法的结合,能够模拟获得孤立碎片的特性数据。通过在 SPH 模拟结果中重构有限元单元,能够有效区分碎片云中的置信孤立碎片和非置信孤立碎片,结合图论方法能够获得每个孤立碎片的单元构成及其尺寸、速度矢量和质量等信息。进而通过数据统计能够获得碎片分布信息。解体碎片数值模拟数据与实验数据具有较好的一致性,表明了该方法的有效性。     

北斗卫星通信导航信号激励器的方案设计和应用

根据北斗卫星系统工作原理,提出了北斗卫星通信导航信号激励器的方案设计和在直升机型号设计中的应用。该激励器具有模拟北斗卫星通信导航信号的功能,其作用是在航电系统地面综合联试中,为机载北斗接收机和组合导航系统提供激励信号。     

基于解析法的用户差分距离误差解算方法(英文)

为了进一步增强星基导航系统的完好性性能,提出了一种基于解析法的用户差分距离误差计算方法。文中首先介绍了卫星时钟和星历改正数的计算方法,认为计算用户差分距离误差的关键是查找卫星服务区域内的最差用户位置。通过变换卫星时钟和星历误差协方差矩阵,将查找最差用户位置变换成一个解析几何问题,通过数学推导得出最差用户位置的解析式,进而求解用户差分距离误差。通过计算机仿真对比了解析法和遍历法之间的性能差异,结果表明:解析法的正确性由遍历法得到了验证,解析法可以减少90%的运行时间并且具有更低的计算复杂度,便于工程实现。     

Hyper Heuristic Approach for Design and Optimization of Satellite Launch Vehicle

Satellite launch vehicle lies at the cross-road of multiple challenging technologies and its design and optimization present a typical example of multidisciplinary design and optimization(MDO) process.The complexity of problem demands highly effi-cient and effective algorithm that can optimize the design.Hyper heuristic approach(HHA) based on meta-heuristics is applied to the optimization of air launched satellite launch vehicle(ASLV).A non-learning random function(NLRF) is proposed to con-trol low-level meta-heuristics(LLMHs) that increases certainty of global solution,an essential ingredient required in product conceptual design phase of aerospace systems.Comprehensive empirical study is performed to evaluate the performance advan-tages of proposed approach over popular non-gradient based optimization methods.Design of ASLV encompasses aerodynamics,propulsion,structure,stages layout,mass distribution,and trajectory modules connected by multidisciplinary feasible design approach.This approach formulates explicit system-level goals and then forwards the design optimization process entirely over to optimizer.This distinctive approach for launch vehicle system design relieves engineers from tedious,iterative task and en-ables them to improve their component level models.Mass is an impetus on vehicle performance and cost,and so it is considered as the core of vehicle design process.Therefore,gross launch mass is to be minimized in HHA.