空间站充气式下载系统的概念研究

空间站充气式下载系统 (IDS)是在俄罗斯充气式再入与降落技术 (IRDT)基础上发展起来的一种新概念航天回收技术。详细介绍了IDS基本概念和工作原理 ,通过与传统降落伞回收方式的比较 ,总结了该技术的特点。讨论了该技术对结构、轨道、气动力、气动热、热防护层等关键子系统的设计需求。归纳了国外研究现状及发展趋势 ,分析了航天和军事领域的应用前景。     

Accurate estimation of relative atmospheric density error on the example of uncertain geomagnetic activity information

Errors in neutral atmospheric density are the dominant contributor to unrealistic orbital state-vector covariances in low Earth orbits (LEO). Density uncertainty is caused by model-uncertainty at spatial scales below and within the model resolution, as well as input-uncertainty of the environmental parameters supplied to the semi-empirical atmospheric model.The paper at hand provides multiple contributions. First, analytic equations are derived to estimate the relative density error due to an input parameter uncertainty in any of the environmental parameters supplied to the model. Second, it is shown on the example of uncertain geomagnetic activity information, how to compute the required inputs to facilitate the accurate estimation of the relative density error.A clamped cubic splining approach for the conversion from geomagnetic amplitude (ap) to the kp index is postulated to perform this uncertainty propagation, as other algorithms were found unsuitable for this task. Results of numerical simulations with three popular semi-empirical models are provided to validate the set of derived equations. It is found that geomagnetic input uncertainty is especially important to consider in case of low global geomagnetic activity. The findings seamlessly integrate with prior work by the authors to perform density-uncertainty considering orbit estimation.     

大气对遥感卫星图像品质的影响分析

影响遥感卫星图像品质的因素很多,其中包括成像条件中的大气辐射.文章根据遥感成像理论分析了大气辐射对遥感卫星图像品质的影响,计算了大气背景及大气对图像层次和图像对比度的影响.最后,结合遥感相机的特点,给出了减少大气影响、提高图像品质的建议.     

地基单站GPS探测大气折射环境

基于地基单站双频GPS接收机,提出了实时遥感探测大气折射环境（包括对流层折射率剖面与电离层电子密度剖面）的方法,并经过实验验证可行。在对流层方面,改进精密单点定位技术使得对流层低仰角斜延迟可以实时解算,然后利用相关向量机方法反演得到对流层折射率剖面;在电离层方面,采用Kalman滤波技术消除硬件延迟得到电离层TEC,基于IRI模型,利用遗传算法反演得到电离层电子密度剖面。此研究为大气折射环境的实时、高效、低成本探测提供了一种新手段。     

地磁扰动期间低轨目标轨道预报的误差修正

针对地磁扰动期间大气密度变化造成的低轨目标较大的轨道预报误差,提出一种根据POES卫星观测的极光能量注入数据改进短期轨道预报的方法。分析表明CHAMP卫星的沿迹大气密度及轨道衰减与极光能量注入具有较好的相关性。通过线性回归方法,建立轨道半长轴衰减及阻力调制系数的修正公式,并使用修正后的阻力调制系数取代两行元(TLE)中的该系数带入SGP4模型进行位置预报。该方案考虑了外推过程中地磁扰动引起的大气密度响应,能更准确地反映外推过程中大气阻力对轨道的影响。将其应用到2008年CHAMP卫星和国际空间站的轨道预报中,结果表明,半长轴和位置的预报误差可分别降低50%和30%左右。进一步对不同年份、不同轨道高度的目标进行了预报误差修正的分析,验证了该方法的普适性。     

Ozone destruction by solar electrons in relation to solar variability and the terrestrial latitude

Precipitating electrons from the radiation belts with energies greater than from 150 keV to 5 MeV have been correlated with ozone data of a large number of stations located within 40–70° N. Energetic electrons have been collected by the low altitude polar Russian satellite METEOR while ozone data have been compiled from almost ninety (90) stations located all over the world within the latitude zone 40–70° N.     

临近空间大气压力传感器现场校准装置研究

本文针对临近空间大气压力传感器现场校准需求,介绍了临近空间大气压力传感器现场校准装置工作原理, 进行理论分析与仿真,提出需突破的关键技术,给出了不确定度预估。     

Storm-time atmospheric density modeling using neural networks and its application in orbit propagation

Upper atmospheric densities during geomagnetic storms are usually poorly estimated due to a lack of clear understanding of coupling mechanisms between the thermosphere and magnetosphere. Consequently, the orbit determination and propagation for low-Earth-orbit objects during geomagnetic storms have large uncertainties. Artificial neural networks are often used to identify nonlinear systems in the absence of rigorous theory. In the present study, an attempt has been made to model the storm-time atmospheric density using neural networks. Considering the debate over the representative of geomagnetic storm effect, i.e. the geomagnetic indices ap and Dst, three neural network models (NNM) are developed with ap, Dst and a combination of ap and Dst respectively. The density data used for training the NNMs are derived from the measurements of the satellites CHAMP and GRACE. The NNMs are evaluated by looking at: (a) the mean residuals and the standard deviations with respect to the density data that are not used in training process, and (b) the accuracy of reconstructing the orbits of selected objects during storms employing each model. This empirical modeling technique and the comparisons with the models NRLMSIS-00 and Jacchia-Bowman 2008 reveal (1) the capability of neural networks to model the relationship between solar and geomagnetic activities, and density variations; and (2) the merits and demerits of ap and Dst when it comes to characterizing density variations during storms.     

Quasi-biennial oscillation (QBO) of tropical total ozone under alternative QBO scenarios of equatorial stratospheric wind

Equatorial total column ozone variations with quasi-biennial periodicity are described by paying attention to their coupling with the quasi-biennial oscillation (QBO) of zonal wind in equatorial stratosphere. Analysis is made for the 35-year time interval from 1978 to 2013 using the zonal mean total ozone (TOZ) data in latitude band from 5° S to 5° N derived from satellite measurements by means of Total Ozone Mapping Spectrometer (TOMS) and Ozone Monitoring Instrument (OMI). The study was performed using strong seasonal regularities of the wind QBO and the discrete variation of the QBO-period revealed earlier. The forecast of the wind QBO evolution made in Gabis (2012) is fully justified. The comparison between predicted and actually observed changes of the height wind structure shows the prominent accordance, which confirms the forecast validity. It is shown that variations of deseasonalized TOZ are in strong coupling with changes of equatorial wind QBO that coincides with the numerous previous researches. However our results contradict the assumption about quite complicated ozone response in the equatorial region due to continuously varying with time relationship between annual and quasi-biennial cycles and irregularly variable wind QBO-period. The total ozone changes actually observed clearly corresponds to the mean ozone variations calculated for different QBO scenarios and aligned according to the sequence of QBO scenarios already occurred in fact. This close association indicates the possibility of forecasting the equatorial total ozone QBO based on the predicted wind QBO.     

磁暴下的LEO卫星精密轨道确定

对低轨卫星（LEO）,大气阻尼摄动是主要的定轨误差源.尤其在发生磁暴时,求解一个大气阻尼因子的定轨方法已不能充分吸收大气密度计算不准所造成的定轨误差,因而在标校统一S波段（USB）的测量系统差和随机差时往往计算失真.本文提出了一种求解折线型Cd因子的新方法,克服了动力学模型不准所带来的定轨误差,通过与独立的GPS数据比较,定轨精度有明显提高,同时给出的测量系统差和随机差更加真实可信.