Analytical-HZETRN model for rapid assessment of active magnetic radiation shielding

The use of active radiation shielding designs has the potential to reduce the radiation exposure received by astronauts on deep-space missions at a significantly lower mass penalty than designs utilizing only passive shielding. Unfortunately, the determination of the radiation exposure inside these shielded environments often involves lengthy and computationally intensive Monte Carlo analysis. In order to evaluate the large trade space of design parameters associated with a magnetic radiation shield design, an analytical model was developed for the determination of flux inside a solenoid magnetic field due to the Galactic Cosmic Radiation (GCR) radiation environment. This analytical model was then coupled with NASA’s radiation transport code, HZETRN, to account for the effects of passive/structural shielding mass. The resulting model can rapidly obtain results for a given configuration and can therefore be used to analyze an entire trade space of potential variables in less time than is required for even a single Monte Carlo run. Analyzing this trade space for a solenoid magnetic shield design indicates that active shield bending powers greater than ∼15 Tm and passive/structural shielding thicknesses greater than 40 g/cm² have a limited impact on reducing dose equivalent values. Also, it is shown that higher magnetic field strengths are more effective than thicker magnetic fields at reducing dose equivalent.     

Strong geomagnetic activity forecast by neural networks under dominant southern orientation of the interplanetary magnetic field

The paper deals with the relation of the southern orientation of the north–south component _Bz$B_z$ of the interplanetary magnetic field to geomagnetic activity (GA) and subsequently a method is suggested of using the found facts to forecast potentially dangerous high GA. We have found that on a day with very high GA hourly averages of _Bz$B_z$ with a negative sign occur at least 16 times in typical cases. Since it is very difficult to estimate the orientation of _Bz$B_z$ in the immediate vicinity of the Earth one day or even a few days in advance, we have suggested using a neural-network model, which assumes the worse of the possibilities to forecast the danger of high GA – the dominant southern orientation of the interplanetary magnetic field. The input quantities of the proposed model were information about X-ray flares, type II and IV radio bursts as well as information about coronal mass ejections (CME). In comparing the GA forecasts with observations, we obtain values of the Hanssen–Kuiper skill score ranging from 0.463 to 0.727, which are usual values for similar forecasts of space weather. The proposed model provides forecasts of potentially dangerous high geomagnetic activity should the interplanetary CME (ICME), the originator of geomagnetic storms, hit the Earth under the most unfavorable configuration of cosmic magnetic fields. We cannot know in advance whether the unfavorable configuration is going to occur or not; we just know that it will occur with the probability of 31%.     

基于视频数据的机场跑道外来物检测

提出了一种基于视频数据的机场跑道外来物(FOD,Foreign Object Debris)检测算法,该算法包括几何校正、背景差分、杂波抑制和伪装消除等4个步骤.其中,几何校正排除了摄像头轻微抖动造成的图像差异;背景差分利用每个像素对应的颜色向量信息,建立背景模型并进行定时更新;杂波抑制和伪装消除利用差分图像和原始图像信息,建立马尔科夫随机场和概率统计模型,在降低虚警的同时提高了检测率.将本算法应用于两组不同光照条件下获取的视频图像,检测不同形状和颜色的FOD目标;采用本算法对机场实测数据进行测试,验证了算法的有效性.     

TC-1和Geotail对亚暴过程中近地等离子体片磁扰动的联合观测

以2004年9月28日02:53:20 UT的亚暴为例, 通过TC-1在磁尾约12.5 R_e 和Geotail卫星在近地磁尾等离子体片约8～9 R_e的联合观测, 研究亚暴触发过程中近地磁尾等离子体片中等离子体波动特征. 结果表明, 亚暴触发区是近地磁尾中心等离子体片中较小的一个区域, 在亚暴触发区中低混杂不稳定性在近地磁尾等离子体片中存在, 准垂直传播的低混杂波发生在亚暴触发过程中, 而亚暴触发过程中近地磁尾等离子体片外边界区内的磁场偶极化信号和扰动都非常微弱. 在亚暴触发和亚暴膨胀相过程中出现了多次具有不同特征的磁场偶极化现象.      

SINS外场系统级标定方法的优化——最佳六位置

静态多位置标定问题,不同位置编排方式会影响辨识精度.针对六位置标定方法,通过建立位置编排与惯组9个误差参数(加速度计零偏、标度因数误差和陀螺零偏)标定精度之间的关系,将惯组位置编排问题转化为Fisher信息矩阵的优化问题,并在A-最优、D-最优和E-最优3个优化指标下,给出了惯组位置编排的最优方案,通过仿真与满足可辨识条件的一组位置编排比较,结果表明最优方案能够提高加速度计零偏和标度因数误差的标定精度.      

基于Tersoff-Brenner势的航天器群图形编队研究

从分子动力学模拟角度提出了一种分布式航天器群导航控制方法,可使行星中心开普勒轨道上的航天器群在有限的感知信息条件下自发实现图形编队.该法基于人工势场技术,主要分为两个部分：改造自C-W方程的外围全局汇聚势场和基于Tersoff-Brenner势的局部塑形势场.前者将各航天器导引至预设汇聚点附近,后者进一步使各航天器自我调整彼此相对位置,最终编成期望构型.此外,引入一速度依赖型耗散项以确保任意初始分布条件下图形编队均收敛.通过地球同步轨道上航天器群正四面体构型（含中心,即金刚石结构单元）编队仿真,验证了所提方法的有效性和优越性.将编队脚本简单修改,该法还可方便用于其它类碳元素同素异形体构型的塑造,如石墨晶体结构单元正六边形等.     

被动型星载氢钟H型气体电离模型及参数优化

针对被动型星载氢钟气体电离装置低功耗、低电磁干扰的设计要求,设计了一种基于平面盘绕馈能天线的H型电离系统,并建立该电离方法的数学模型。首先,由Maxwell方程出发,推导出了电离泡中的电场和磁场的分布模型,得到气体电离机制;再由电磁场的分布方程推导出氢气击穿判据表达式,建立了气体电离条件的数学模型;最后,利用电离击穿条件判据方程优化了电离装置的设计参数。数值仿真与测试表明该模型是有效的,采用优化的设计参数可以使电离功耗和电磁干扰特性得到改善,且电离直流电源总功率可小于2W。     

基于频谱预处理的RS码盲检测识别方法

针对RS(Reed Solomon)码的盲检测与识别问题,提出了一种基于频谱预处理的检测方法。该方法利用RS码的频域特征,实现对RS码的盲检测与识别,针对高误码情况,对多组码字的频谱分量进行非线性变换和中值滤波,充分利用码字变换频谱的统计信息,使得检测算法可以适应较高的误码环境,同时给出了算法误码适应能力的理论上限。仿真实验表明,算法能够在较高误码率条件下实现对本原RS码的盲检测与识别,性能已接近算法误码适应能力的理论上限。     

数值研究低热值燃料环管燃烧室燃烧流场

在任意曲线坐标系下对采用两种不同组分(天然气掺混氮气、一氧化碳)的低热值燃料环管燃烧室燃烧流场进行计算,结果表明低热值燃料的化学反应速率与其组分直接有关,燃料一氧化碳的燃烧效率高于天然气与氮气掺混物燃料,燃料组分变化对燃烧室燃烧效率与出口温度影响很大,因此选用合适的燃料十分重要.计算所得的燃烧室的燃烧效率和出口温度分布与试验数据符合较好,表明所用的数学模型与计算方法合理,计算程序可靠,可为低热值气体燃料燃烧室研制和优化设计提供有用的数据.      

磁暴对赤道地区L波段电离层闪烁的影响研究

利用赤道地区Vamimo站闪烁数据, 选取两次典型大磁暴时段重点分析, 对比磁暴发生前、发生时以及发生后连续几天电离层幅度闪烁强度和发生率的变化, 引入瑞利elax-elax泰勒不稳定性(Rayleigh-Taylor, R-T不稳定性)线性增长率γ₀, 对磁暴影响闪烁的机制进行初步探讨. 结果表明, 磁暴可能触发闪烁发生, 也可能抑制闪烁发生, 这既与观测季节有关, 也与磁暴不同发展阶段的地方时有关. 触发发生于闪烁少发季节磁暴主相所在的午夜至黎明时段, 可能是磁层穿透电离层的东向电场所致; 抑制发生于闪烁多发季节磁暴恢复相所在的午夜前时段, 可能是西向电场作用的结果. 磁暴发生时的电场变化可能是抑制或触发闪烁的主导因素, 但仍需进一步分析研究.