DOR测量自适应模型重构算法与实验验证

针对"金星快车"(Venus Express,VEX)探测器大时延、快变化的轨迹特点,提出了一种基于侧音信号相频特性的自适应模型重构算法。该方法极大增强了参考模型精度恶化情况下算法的适应性与稳定性。基于"金星快车"DOR观测实验的数据分析,通过与欧洲航天局提供的事后高精度星历轨道对比,结果表明数据处理算法时延精度优于ns量级,时延率精度优于1ps/s量级。     

Tropospheric wet refractivity tomography using multiplicative algebraic reconstruction technique

Algebraic reconstruction techniques (ART) have been successfully used to reconstruct the total electron content (TEC) of the ionosphere and in recent years be tentatively used in tropospheric wet refractivity and water vapor tomography in the ground-based GNSS technology. The previous research on ART used in tropospheric water vapor tomography focused on the convergence and relaxation parameters for various algebraic reconstruction techniques and rarely discussed the impact of Gaussian constraints and initial field on the iteration results. The existing accuracy evaluation parameters calculated from slant wet delay can only evaluate the resultant precision of the voxels penetrated by slant paths and cannot evaluate that of the voxels not penetrated by any slant path. The paper proposes two new statistical parameters Bias and RMS, calculated from wet refractivity of the total voxels, to improve the deficiencies of existing evaluation parameters and then discusses the effect of the Gaussian constraints and initial field on the convergence and tomography results in multiplicative algebraic reconstruction technique (MART) to reconstruct the 4D tropospheric wet refractivity field using simulation method.     

Stability of the seasonal variations in diurnal and semidiurnal components of mid-latitude F2 layer parameters

We report work utilizing 15-min resolution ionospheric data obtained with DPS-4 digisonde in 2003–2011 to study the seasonal variations in amplitudes and phases of the most powerful spectral components of the F2 layer critical frequency (foF2) and peak height (hmF2) fluctuations over Irkutsk (52.5°N, 104.0°E). We show that fluctuations of both parameters contain quasi-harmonic components with periods of T_n = 24/n h (n = 1–7). The number of distinct spectral peaks varies from 3 in summer to 7 in winter. Amplitude and phase characteristics of the diurnal (n = 1) and semidiurnal (n = 2) components is studied using the data sets extracted from the original data sets with band-pass filter. It has been found that the amplitudes of diurnal/semidiurnal foF2 and diurnal hmF2 components are maximum in winter and minimum in summer. Amplitudes of the diurnal components vary gradually; those of the foF2 semidiurnal one, abruptly, thus forming a narrow winter maximum in November–January. The phase (local time of maximum) of the diurnal foF2 component increases gradually by 4–6 h from winter to summer. The phase of the semidiurnal foF2 component is nearly stable in winter/summer and sharply decreases (increases) by 2–3 h near the spring (autumn) equinox. The phase of the diurnal component of hmF2 (local time of minimum) varies slightly between 1130 and 1300 LT; that of the semidiurnal one decreases (increases) by 4–6 h from January to March (from September to November). The results obtained show that the main features of seasonal variations in the diurnal and semidiurnal components of the mid-latitude F2 layer parameters recur consistently during the solar activity growth and decline phases.     

一种基于图割的稠密三维场景重建算法

立体视觉技术是自主探测机器人在未知环境中获取信息的重要手段,通过对可视场景的稠密三维重建实现导航、定位及路径规划等一系列工作。本文在候选点匹配的基础上结合图割理论,首先在世界坐标系建立代表深度信息的网格节点,接着依据区域匹配算法对候选点进行初步筛选,去除大部分相关值较低的节点,建立简化的网格图,最后通过寻找图中最小割来实现能量函数的全局最小,完成稠密的三维场景重建。实验证明,相关阈值γ设为0.6时,简化网格图的重建精度和计算效率达到相对平衡。图割算法解决了候选点测量时潜在的匹配歧义问题,且对低纹理区域有较好的匹配效果。     

盲稀疏度信号重构的改进正交匹配追踪算法

在信号盲稀疏度条件下,现有重构算法的固定阈值选择限制了重构精度和重构速度提高,鉴于此,提出一种改进的正交匹配追踪算法。通过非线性下降的阈值快速选择原子,自动调节候选集原子个数,以便每一次迭代时更加精确地估计真正的支撑集,并利用正则化过程实现支撑集的二次筛选,最终实现了盲稀疏度信号的精确重构。仿真结果表明,在相同的测试条件下,本文算法的重构精度和速度分别提高了8.5%和9.2%。     

基于空域稀疏性的宽带DOA估计

利用宽带阵列接收信号的空域稀疏性,将宽带信号的波达方向(DOA)估计转化为一个稀疏信号重构的问题,提出了一种新的宽带信号DOA估计算法。该算法将宽带信号分解为多个子带信号,联合利用多个子带信号的空域稀疏性进行重构。它是对用于稀疏重构的标准的稀疏贝叶斯学习算法的推广,可适用于多冗余字典的信号模型。另外,通过对多快拍的阵列接收信号进行奇异值分解(SVD),提取信号子空间作为算法的输入数据,可以在有效减少运算复杂度的同时,提高对噪声的稳健性。与传统的宽带阵列DOA估计方法相比,该算法能够用于低信噪比、快拍有限和信源相关性较高的场合,同时算法的性能对信源个数的估计值不太敏感。仿真实验表明,该算法相对现有的基于子空间类的方法,具有更好的DOA估计性能。     

2009年1月平流层爆发性增温期间全球电离层响应的研究

2009年1月平流层爆发性增温(Stratospheric Sudden Warming, SSW)事件是有记录以来最强、持续时间最长的一次主增温事件(Major Warming Event, MWE), 期间太阳活动和地磁活动均处于较低的水平, 因此非常有利于研究电离层对平流层增温事件的响应情况. 本文利用COSMIC (Constellation Observing System for Meteorology, Ionosphere, and Climate)系统提供的掩星数据, 使用Kriging方法分别构建了此次SSW期间及平静期的电离层N_mF₂, h_mF₂和110～750km高度范围的垂直积分TEC (简称VTEC)地图, 同时从全球定位导航卫星系统服务组织(International GNSS Service, IGS)发布的全球电离层TEC地图(Global Ionospheric Maps, GIMs)中提取了日固坐标系(Sun-fixed, 地磁纬度和地方时)下全球TEC地图. 通过对比发现, SSW期间与平静期相比, 地磁纬度中低纬电离层参数存在早晨上升, 下午和夜间下降的现象. 利用OSTM/JASON-2卫星高度计观测值进行验证后的结果显示, 此前研究均未有提及的夜间时段电离层参数N_mF₂, h_mF₂和TEC (VTEC和IGS TEC)的下降现象的确存在.      

Galileo卫星导航系统广播Nequick模型及其参数拟合

提出了基于IGRF模型的Galileo广播Nequick模型及其参数拟合算法, 解决了Galileo信号仿真中地理场景映射与地磁坐标下的电离层延时修正参数拟合问题. 应用IGRF模型, 可计算出任意给定位置和时间点的地磁参数以及E层、 F₁层、F₂层的电子密度, 从而计算出Galileo电离层修正参数. 仿真结果表明, 该算法拟合的全球电离层延时与IGS提供的实际观测值基本一致, 仿真精度高于一般的经验电离层模型, 实现了Galileo卫星信号的电离层延时修正参数的精确仿真.      

A Prediction Method for△f0F2min of a Single Station From Interplanetary Parameters Based on Statistical Study

Using 86 CME-interplanetary shock events,the correlation between the peak values of （a） the solar wind parameters(B_z,E_y,P_dyn) and the geomagnetic indices（SYM-H,ASY-H,Kp）, （b） the coupling functions（Borovsky,Akasofu,Newell） and the geomagnetic indices,（c） the solar wind parameters/coupling functions/geomagnetic indices and the ionospheric parameter(Δf₀F_2min), are investigated.The statistical results show that in group（a）,B_{z min} and SYM-H_min have the best correlation,that in group（b）,the best correlation is between the peak values of Akasofu function (A_min) and SYM-H_min,and that in group（c）,the best correlation is between K_pmax andΔf₀F_2min. Based on the statistical results,a method for predicting f₀F₂ of a single station is attempted to be set up.The input is modified B_{z min} and the outputs are SYM-H_min andΔf₀F_2min.Then 25 CME-IPS events that caused geomagnetic storms in 1998 and 2009 are used to check the prediction method. The results show that our method can be used to predict SYM-H_min andΔf₀F_2min.     

GNSS single frequency ionospheric range delay corrections: NeQuick data ingestion technique

A study of the performance of the NeQuick model and the Klobuchar model for GNSS single frequency range delay correction on a global scale was done using data for moderate solar activity. In this study NeQuick was used in the way intended for Galileo. This study is to assess the performance of the two models at each ionospheric geographic region during moderate solar activity as previously published studies were concentrated only on high solar activity. The results obtained showed that NeQuick outperformed Klobuchar for the whole year at the three geographical regions of the ionosphere. In terms of monthly root mean square of mismodeling, NeQuick outperformed Klobuchar by 15 TECU or more at low-latitudes, 5 TEC or more at mid-latitudes, and 1 TECU or more at high-latitudes.