基于物理规划的数据中继卫星链路配置决策方法

将方案评价与决策的思想引入到卫星链路配置中,建立了中继卫星链路参数配置的多目标模型,并用\"短板链路\"优先配置的原则,将多目标模型缩减为三目标模型。采用基于物理规划的决策方法,给出了决策三目标配置模型最优解的具体实现算法。通过实例分析表明该决策方法是可行的。     

美军面向第四代战斗机的数据链建设及启示

介绍美军现役主要战术数据链及美军针对四代机的数据链改进和试验情况,分析美军第四代战斗机的技战术性能,得到美军对下一代数据链建设方向的重点,对我军今后数据链建设具有借鉴意义,从而更有针对性地加强我军的数据链建设,提高我空军的整体战斗力。     

LEO卫星网中MPLS协议体系及其实现方案

由于卫星网拓扑时变的特性,使得现有的多协议标签交换(MPLS)技术难以在卫星网中有效地运行。以铱(Irid ium)系统为例,首先分析低轨卫星网(LEO)中星际链路的变化情况。针对卫星网具有频繁断接性和传输大时延等特点,将基于MPLS技术的LEO卫星网系统进行功能模块的划分,并重点对MPLS协议中的标签设计、信令协议选择、标签交换路径(LSP)的切换等问题进行仿真,同时提出相应的改进方案。     

基于实测数据的大气密度反演方法及应用研究

针对中长期的平均大气密度反演问题,以我国典型遥感卫星运行轨道数据作为基础,采用实测数据反演大气密度并对MSIS00模型进行局部修正,并将修正后的模型应用于遥感卫星推进剂的预算,仿真结果表明：得到的修正大气模型具有较高的准确度,且采用修正后的大气模型得到的轨道维持推进剂消耗比修正前减少了近35%,达到了在保障卫星安全运行基础上最大限度降低整星质量的目的。研究结果还可用于我国未来航天器的高精度轨道预报、推进剂预算、碰撞规避等任务。     

月球图像传输与处理的分析和仿真

需要一个平台对探月卫星,探月图像传输和处理进行研究. 嫦娥一号月球图像的传输与处理的仿真,结合了链路分析,采用MATLAB GUI 和虚拟现实设计工具。由于图像在深空传输中,距离较远,信号会受到很大的衰减,传输质量会受到噪声干扰的严重影响。因此要对系统链路进行严格的预算分析,包括考虑地球大气产生的影响,以确保信号传输质量满足要求,另外还要通过适当算法提高图像的清晰度。这种仿真方法对探月图像传输的研究奠定了基础,并且对降低探月成本有一定的帮助。     

关于军工科研单位全面预算管理的若干思考

本文着重阐述了军工科研单位全面预算管理的涵义和作用及推行预算管理存在的问题、推行预算管理采取的措施。     

Quantifying barystatic sea-level change from satellite altimetry,GRACE and Argo observations over 2005–2016

Time-varying spherical harmonic coefficients determined from the Gravity Recovery and Climate Experiment (GRACE) data provide a valuable source of information about the water mass exchange that is the main contributor to the Earth’s gravity field changes within a period of less than several hundred years. Moreover, by measuring seawater temperature and salinity at different layers of ocean depth, Argo floats help to measure the steric component of global mean sea level (GMSL). In this study, we quantify the rate of barystatic sea-level change using both GRACE RL05 and RL06 monthly gravity field models and compare the results with estimates achieved from a GMSL budget closure approach. Our satellite altimetry-based results show a trend of 3.90 ± 0.14 mm yr⁻¹ for the GMSL rise. About 35% or 1.29 ± 0.07 mm yr⁻¹ of this rate is caused by the thermosteric contribution, while the remainder is mainly due to the barystatic contribution. Our results confirm that the choice of decorrelation filters does not play a significant role in quantifying the global barystatic sea-level change, and spatial filtering may not be needed. GRACE RL05 and RL06 solutions result in the barystatic sea-level change trends of 2.19 ± 0.13 mm yr⁻¹ and 2.25 ± 0.16 mm yr⁻¹, respectively. Accordingly, the residual trend, defined as the difference between the altimetry-derived GMSL and sum of the steric and barystatic components, amounts to 0.51 ± 0.51 and 0.45 ± 0.44 mm yr⁻¹ for RL05 and RL06-based barystatic sea-level changes, respectively, over January 2005 to December 2016. The exclusion of the halosteric component results in a lower residual trend of about 0.36 ± 0.46 mm yr⁻¹ over the same period, which suggests a sea-level budget closed within the uncertainty. This could be a confirmation on a high level of salinity bias particularly after about 2015. Moreover, considering the assumption that the GRACE-based barystatic component includes all mass change signals, the rather large residual trend could be attributed to an additional contribution from the deep ocean, where salinity and temperature cannot be monitored by the current observing systems. The errors from various sources, including the model-based Glacial Isostatic Adjustment signal, independent estimation of geocenter motion that are not quantified in the GRACE solutions, as well as the uncertainty of the second degree of zonal spherical harmonic coefficients, are other possible contributors to the residual trend.     

Remote sensing of aerosol and radiation from geostationary satellites

The paper presents a high-level overview of current and future remote sensing of aerosol and shortwave radiation budget carried out at the US National Oceanic and Atmospheric Administration (NOAA) from the US Geostationary Operational Environmental Satellite (GOES) series. The retrievals from the current GOES imagers are based on physical principles. Aerosol and radiation are estimated in separate processing from the comparison of satellite-observed reflectances derived from a single visible channel with those calculated from detailed radiative transfer. The radiative transfer calculation accounts for multiple scattering by molecules, aerosol and cloud and absorption by the major atmospheric gases. The retrievals are performed operationally every 30 min for aerosol and every hour for radiation for pixel sizes of 4-km (aerosol) and 15- to 50-km (radiation). Both retrievals estimate the surface reflectance as a byproduct from the time composite of clear visible reflectances assuming fixed values of the aerosol optical depth. With the launch of GOES-R NOAA will begin a new era of geostationary remote sensing. The Advanced Baseline Imager (ABI) onboard GOES-R will offer capabilities for aerosol remote sensing similar to those currently provided by the Moderate Resolution Imaging Spectroradiometer (MODIS) flown on the NASA Earth Observing System (EOS) satellites. The ABI aerosol algorithm currently under development uses a multi-channel approach to estimate the aerosol optical depth and aerosol model simultaneously, both over water and land. Its design is strongly inspired by the MODIS aerosol algorithm. The ABI shortwave radiation budget algorithm is based on the successful GOES Surface and Insolation Product system of NOAA and the NASA Clouds and the Earth’s Radiant Energy System (CERES), Surface and Atmospheric Radiation Budget (SARB) algorithm. In all phases of the development, the algorithms are tested with proxy data generated from existing satellite observations and forward simulations. Final assessment of the performance will be made after the launch of GOES-R scheduled in 2012.     

数据链测试仿真评估中的信道与链路干扰仿真技术

信道和链路干扰仿真是数据链测试仿真评估系统的关键技术之一。在局域网下模拟数据链系统真实运行的无线环境的非理想特性,需要对典型应用环境的信道条件、干扰特征进行分析和建模,仿真验证数据链系统在不同环境条件下的性能。本文首先分析了几类常见的信道和链路干扰仿真工具相关模块的原理和机制,研究并提出了传输时延、信道与链路干扰、链路级仿真方法及方案,并对几个关键问题进行了分析并提出解决方案。该研究在数据链测试仿真评估系统中的验证效果良好,能够为数据链系统可靠性、稳定性提供无线信道和链路干扰模拟工具,从而为数据链系统的设计提供参考和依据。     

太阳风-磁层-电离层耦合过程中的能量收支

太阳风向磁层电离层(Magnetosphere and Ionosphere, MI)系统输入能量, 而输入的能量随后在MI系统中消耗. 本文从能量守恒原理出发, 讨论太阳风-磁层-电离层 (SMI)耦合过程中的能流路径和能量收支的定量关系. 主要讨论9个问题: (1) 太阳风向MI系统的能量输入, (2) MI系统对能量输入的响应, (3) 环电流的能量消耗, (4) 极区电离层焦耳加热的能量消耗, (5) 极光粒子沉降的能量消耗, (6) 磁尾能量的消耗、储存以及返回下游太阳风, (7)平静期间的能量积累与释放, (8)能量在不同能汇中的分配, (9)评价能量函数的准则和方法.