空间用功率MOSFET器件2N7266总剂量

文章针对空间用功率MOSFET器件2N7266进行了60Co源γ射线辐射试验研究。在辐射过程中,采用JT-1型晶体管特性图示仪和计算机控制的摄像机实时监测器件电参数随辐射剂量变化的特征,通过试验研究获得了被试器件阈值电压、漏电流和击穿电压随总剂量变化的特征,得出了被试器件抗总剂量辐射的指标。研究结果可为被试器件在航天器型号的使用提供技术参考依据。     

深空辐射环境及其效应的分析与比较

深空辐射环境对深空探测活动将带来严重的威胁。文章首先对深空辐射环境及效应进行了分析,接着对月球、火星、木星和土星等不同星体的辐射环境及效应进行了详细的探讨及比较。文章得到的结论可为深空探测器的设计和航天员的防护设计提供重要的指导与帮助。     

长寿命卫星热控涂层性能退化及其对卫星热特征的影响

分析了卫星热控涂层在轨运行时所面临的复杂的空间辐照环境,在国 内外试验数据的基础上,给出了热控涂层在空间辐照环境作用下的退化模型,得到了退化前 后热控涂层光学性能变化的表达式,预测了几种常用热控涂层在空间环境下的退化结果。并 以一颗地球同步轨道模拟星为例,分析热控涂层性能退化对卫星热特征尤其是对卫星红外辐 射特性的影响。
     

Convex optimization of asteroid landing trajectories driven by solar radiation pressure

High-area/mass ratio landers driven by Solar Radiation Pressure(SRP) have potential applications for future asteroid landing missions. This paper develops a new convex optimization-based method for planning trajectories driven by SRP. A Minimum Landing Error(MLE) control problem is formulated to enable planning SRP-controlled trajectories with different flight times. It is transformed into Second Order Cone Programming(SOCP) successfully by a series of different convexification technologies. A t...     

基于射线追踪的快速雷达图像仿真方法

为了解决目标识别、隐身目标设计等研究领域对雷达图像需求日益增加的问题,提出了一种基于射线追踪的快速雷达图像仿真方法。该方法利用射线追踪计算每一个射线管的散射电场及其在雷达成像平面的投影坐标,通过将所有射线管的贡献在像域进行累加得到1幅二维雷达图像。通过对不同路径射线的聚类,可实现对散射贡献的分离,从而建立目标部件与强散射源的对应关系,并对复杂目标雷达图像进行解释。给出了Slicy目标的快速雷达图像仿真与算例分析,分析结果表明:基于射线追踪的快速雷达图像仿真方法可对复杂雷达图像进行有效预测,并能对强散射源进行成因分析。     

宇航用双极器件和光电耦合器位移损伤试验研究

文章针对器件的位移损伤效应,利用质子加速器产生的质子及反应堆中子对化合物器件和硅器件位移损伤进行试验研究,得到了GaAs光电耦合器的电流传输比(CTR)和硅晶体管电流增益hFE的退化率随等效剂量的变化规律。研究结果表明,在质子70 MeV以上高能量范围,对于硅器件适用的位移损伤等效原理对于GaAs化合物器件则不再适用,需要修正。根据试验数据,给出了经验的修正系数。     

高能电子对地球同步轨道卫星的影响分析

为了厘清在轨GEO(Geosynchronous Earth Orbit,地球同步轨道)卫星不时出现异常的原因,提高卫星执行任务的可靠性,首先从机理上介绍了空间环境中的地球辐射带及高能电子的情况,引出GEO卫星所处恶劣空间环境的现实;其次基于我国SEPC(Space Environment Prediction Center,国家空间环境预报中心)以及NSMC(National Satellite Meteorological Center,国家卫星气象中心)的空间环境月报资料,结合某GEO环境业务卫星故障的实际数据,经统计归纳,分析得出了地球辐射带中的高能电子是导致GEO卫星发生故障的主要原因;最后按照事例技术分析、常规按需预报和特殊情况下的实时预报等3个层次对高能电子预报方法进行了初步探讨。通过分析可以看出,为提高卫星完成任务的可靠性、降低长期管理风险,需要加强GEO卫星所处空间环境高能电子的预报工作。     

基于地球红外背景模拟的 水云大气影响初步分析

为支持地球红外背景的模拟研究,以天基观测为前提,计算了2个大气窗口下,4个具有典型大气和地表特征的区域在水云大气下的路径透过率和各成分辐射亮度。通过相对变化比例,讨论了地球背景模拟中水云与地表的图像区分以及地域的影响。结果表明,水云对地球背景辐射传输影响显著:云层下方辐射会被强烈衰减,同时观测路径中的散射辐射大幅增强。在同一选定区域下,积云大气的观测路径亮度相对无云大气下变化最大,在相同水云类型条件下,大气散射和太阳散射亮度在不同区域区别较大,说明在模拟水云地球背景时不能忽略地域的影响。计算和分析结果可为地球背景模拟中的水云红外图像生成提供一定的数据基础和技术支持。     

Time-dependent cosmic ray modulation

Time-dependent cosmic ray modulation is calculated over multiple solar cycles using our well established two-dimensional time-dependent modulation model. Results are compared to Voyager 1, Ulysses and IMP cosmic ray observations to establish compatibility. A time-dependence in the diffusion and drift coefficients, implicitly contained in recent expressions derived by , ,  and , is incorporated into the cosmic ray modulation model. This results in calculations which are compatible with spacecraft observations on a global scale over consecutive solar cycles. This approach compares well to the successful compound approach of Ferreira and Potgieter (2004). For both these approaches the magnetic field magnitude, variance of the field and current sheet tilt angle values observed at Earth are transported time-dependently into the outer heliosphere. However, when results are compared to observations for extreme solar maximum, the computed step-like modulation is not as pronounced as observed. This indicates that some additional merging of these structures into more pronounced modulation barriers along the way is needed.     

Median filtering algorithms for multichannel detectors

Particle detectors of worldwide networks are continuously measuring various secondary particle fluxes incident on Earth surface. At the Aragats Space Environmental Center (ASEC), the data of 12 cosmic ray particle detectors with a total of ∼280 measuring channels (count rates of electrons, muons and neutrons channels) are sent each minute via wireless bridges to a MySQL database. These time series are used for the different tasks of off-line physical analysis and for online forewarning services. Usually long time series contain several types of errors (gaps due to failures of high or low voltage power supply, spurious spikes due to radio interferences, abrupt changes of mean values of several channels or/and slowly trends in mean values due to aging of electronics components, etc.). To avoid erroneous physical inference and false alarms of alerting systems we introduce offline and online filters to “purify” multiple time-series. In the presented paper we classify possible mistakes in time series and introduce median filtering algorithms for online and off-line “purification” of multiple time-series.