Study of TEC changes during geomagnetic storms occurred near the crest of the equatorial ionospheric ionization anomaly in the Indian sector

GPS satellites data obtained at Bhopal (23.16° N, 77.36° E, geomagnetic latitude 14.23° N) India were analyzed to study the TEC changes during several geomagnetic storms (−300 nT < Dst < −50 nT) occurred in 2005–2007. We had segregated the storms according to the Dst value, i.e. moderate storms (−100 nT < Dst ? −50 nT), strong storms (−150 nT < Dst < −100 nT), and severe storms (Dst less than −150 nT). Total of 21 geomagnetic storms (10 moderate, 9 strong, 2 severe) are considered for the present study. Deviation in vertical total electron content (VTEC) during the main phase of the storm was found to be associated with the prompt penetration of electric field originated due to the under-shielding and over-shielding conditions for almost all geomagnetic storms discussed in this paper. For most of the storms VTEC shows the positive percentage deviation during the main phase while it shows positive as well as the negative deviation during the recovery phase of the storms. The −80% deviation in VTEC was found for geomagnetic storm occurred on July 17, 2005 and the negative trend continued for recovery phase of the storm. This was mainly due to the thermospheric composition changes by Joule heating effect at auroral latitudes that generate electric field disturbance at low latitudes. Traveling ionospheric disturbances (TIDs) were responsible for the formation of wave like nature in VTEC for the storms occurred on May 15, 2005, whereas it was not observed for storm occurred on August 24, 2005.     

基于预警卫星观测的弹道导弹运动状态估计算法

针对预警卫星仅有角度测量信息，目标运动可观测性很弱，而导致最大似然弹道估计条件病态严重的问题，提出基于提供目标状态估计和联合误差协方差的Levenbebg-Marquardt算法的修正最大似然估计（MML）算法。利用预警卫星初始观测时刻的目标高度和速度等部分先验信息作为伪测量量，推导出导弹运动状态参数估计的修正最大似然算法。最后，对算法进行了Monte—Carlo仿真研究，仿真结果表明估计误差同理论误差边界相当，验证了估计算法的一致性和有效性．     

基于自适应谱峰搜索的脉冲重复间隔最大似然估计

高精度的脉冲重复间隔（PRI）估计对于提高现代电子情报（ELINT）系统的辐射源识别能力具有重要意义。将观测的脉冲到达时间（TOA）序列建模成点过程信号,其周期图谱谱峰就对应于PRI的最大似然估计（MLE）。本文提出了一个“两步数值搜索”策略,可以确保搜索到谱峰而达到MLE。仿真表明,在低信噪比以及高脉冲丢失率条件下,本文算法性能远超已有算法。     

协方差矩阵结构的广义杂波分组估计方法

针对球不变随机向量建模的相关复合高斯杂波背景下雷达目标自适应检测的协方差矩阵结构估计问题,将均匀杂波分组方法进行推广和改进,提出了杂波协方差矩阵结构的广义迭代杂波分组估计（GRCCE）方法。首先,在广义杂波分组背景下利用最大似然方法推导了协方差矩阵结构估计的迭代过程;其次,基于杂波分组思想,给出了广义杂波分组估计(GCCE),利用GCCE作为初始化估计矩阵进行迭代,得到协方差矩阵结构的GRCCE;最后,通过仿真对方法的有效性进行了检测,结果表明,GRCCE只需要一次迭代就能达到收敛,估计精度随着杂波一阶相关系数的增大而提高,而不受纹理分量参数变化的影响。与现有方法相比GRCCE适应杂波环境更广,估计精度更高,而且计算量更小。     

基于MAP估计和广义高斯MRF的SAR图像边缘比率检测方法

SAR图像极低的信噪比以及乘性噪声给SAR图像的边缘检测带来了较大的困难。提出了一种针对SAR图像边缘的自适应贝叶斯检测方法。该方法利用广义高斯马尔可夫随机场作为局部均值的先验概率分布模型,利用贝叶斯准则推导了局部均值的最大后验概率估计。广义高斯马尔可夫随机场模型参数估计和局部均值估计采用联合迭代技术进行求解。边缘检测器的参数采用接收机操作性能曲线和卡方检验进行选择。基于实测SAR数据的仿真实验结果表明,本文的边缘检测算子是有效的,并优于已有的SAR图像边缘检测算子。     

Changes in total electron content (TEC) during the annular solar eclipse of 15 January 2010

The solar eclipse of 15 January 2010 was an annular eclipse of the Sun with a maximum magnitude of 0.96 at 1.62°N, 69.29°E. To study the effect of this solar eclipse on the ionosphere the GPS data recorded at three different Indian stations Varanasi (Geographic latitude 25°, 16′N, longitude 82°, 59′E), Hyderabad (Geographic latitude 17°, 20′N, longitude 78°, 30′E) and Bengaluru (Geographic latitude 12°, 58′N, longitude 77°, 33′E) have been used to retrieve ionospheric total electron content (TEC). The ionospheric response to this rare event has been studied in terms of GPS-derived TEC observed at all the three Indian stations. A significant reduction in TEC reflected by all PRNs at all the three stations has been observed. The magnitude of the reduction in VTEC compared to quiet mean VTEC depends on latitude as well as longitude. The amount of reduction observed from different satellites (PRN) is different and depends on the location of the satellite from the solar eclipse path.     

The impact of large solar events on the total electron content of the ionosphere at mid latitudes

Ionospheric disturbances associated with solar activity may occur via two basic mechanisms. The first is related to the direct impact on the ionosphere of EUV photons from a flare, and the second by prompt electric field penetration into the magnetosphere during geomagnetic storms. In this paper we examine the possibility that these two mechanisms may have an impact at mid latitudes by calculating the total electron content (TEC) from GPS stations in Mexico during several large X-ray flares. We have found that indeed large, complex flares, which are well located, may affect the mid latitude ionosphere. In fact, in the solar events of July 14, 2000 and April 2001 storms, ionospheric disturbances were observed to increase up to 138 and 150 TECu, respectively, due to the influence of EUV photons. Also, during the solar events of July 2000, April 2001, Halloween 2003, January 2005 and December 2006, there are large ionospheric disturbances (up to 393 TECu in the Halloween Storms), due to prompt penetration electric field, associated with CME producing geomagnetic storm.     

基于加权网格的GPS快速静态定位方法

针对野外作业对GPS（全球定位系统）快速静态定位的实际需求提出了一种解决方法,该方法不需要进行数据预处理,只需依据DOP（精度几何因子）与定位误差之间的关系及定位点密度与真值可能位置之间的关系计算加权值,并通过加权网格快速求取GPS静态定位点。实际数据测试表明,该方法计算结果优于平均值结果及单一DOP权值和密度权值结果,该方法具有较高的精度和较强的稳定性,并具有准实时的处理时效。     

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。     

材料次级电子发射特性对表面充电影响的数值计算研究

表面充电是最早被人们发现的空间环境效应, 是由空间环境引起的航天器异常和故障的主要诱因之一. 采用较精确的金属二次电子发射公式和局部电流平衡模型, 在无光照的情况下, 对不同表面材料及不同几何形体的航天器表面充电电位进行计算, 并绘制了表面材料的充电电位与最大二次电子发射系数之间的关系曲线. 根据数值计算结果及次级电子发射系数和曲线图得知, 航天器阴面充电电位与表面材料的原子序数、最大二次电子发射系数和入射离子引起的次级发射系数均有关. 该计算对航天器表面材料的选取和设计工艺有一定的参考价值.