共查询到17条相似文献，搜索用时 109 毫秒
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研究了NeQuick2算法改进及其实现方法,从不同角度分析了NeQuick2模型在全球区域和中国区域内的性能优势。一个太阳活动周期内,中国区域NeQuick2模型计算的电子总含量（total electron content,TEC）比NeQuick1模型精度有显著提升,改正精度与太阳活动水平具有较强的相关性,低年比高年的改善效果更为显著。以全球电离层数据（global ionosphere maps,GIM）为参考标准,中国中高纬区域太阳活动低年NeQuick2模型TEC的系统年平均偏差减少了76%,年平均均方根（root mean square,RMS）值减少了约72%。太阳活动高年NeQuick2模型TEC的系统年平均偏差减少了38%,平均RMS减少了13%左右,且中高纬区域改正精度优于低纬区域11%~13%。全球区域太阳活动峰值期间NeQuick2模型TEC比NeQuick1模型日平均偏差改善了25%,日平均RMS改善了30%左右。分别用NeQuick1和NeQuick2模型得出F2层顶部区域在太阳活动峰值期电子密度随高度剖面分布,顶部电子密度剖面精度改善近40%。最后分别得出了两个模型中国区域中高纬地区E和F1层区域在100 km、150 km和200 km高度的电子密度分布图,结果显示NeQuick2模型改善了电子密度分布状况,有效避免了NeQuick1在底部区域电子密度梯度不连续以及电离层异常结构的情况。 相似文献
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不同NeQuick电离层模型参数的应用精度分析 总被引：3，自引：2，他引：1
Galileo采用NeQuick作为全球广播电离层模型,其实际应用中以有效电离水平因子Az代替太阳活动指数作为NeQuick的输入参数,并利用二次多项式拟合得到广播星历中播发的3个电离层参数。本文在总结和讨论NeQuick模型参数估计方法及其变化特征的基础上,分别以全球电离层格网、GPS基准站及JASON-2测高卫星提供的电离层TEC为参考,分析不同NeQuick模型参数(包括以太阳活动参数F10.7为输入的NeQuick2、以本文解算参数为输入的NeQuickC和以Galileo广播电离层参数为输入的NeQuickG)在全球大陆及海洋地区的应用精度,并与GPS广播的Klobuchar模型对比。结果表明,NeQuickG在全球范围内的修正精度为54.2%~65.8%,NeQuickC的修正精度为71.1%~74.2%,NeQuick2的修正精度与NeQuickG相当,略优于GPS广播星历中播发的Klobuchar模型。 相似文献
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为分析磁暴期间电离层扰动规律及GNSS定位性能变化，基于国际GNSS服务(International GNSS Service,IGS)全球观测数据及全球电离层图(global ionospheric map,GIM)，对2018年8月26日地磁暴事件引发的北半球地区电离层总电子含量(total electron content,TEC)异常变化和GPS定位性能进行分析.结果表明：北半球TEC异常存在纬度差异，高纬地区响应快，低纬地区异常值变化大，达12 TECU；磁暴期间高纬地区观测数据周跳变化明显，周跳比数值与磁静日相比最大下降61.84%；磁暴期间所有测站数据完整率下降，高纬地区下降响应快，下降严重，达38.65%，研究区所有测站数据完整率下降出现在磁暴恢复相，数据质量与TEC异常变化规律较为一致；对GPS双频动态精密单点定位(precise point positioning,PPP)结果进行分析发现，磁暴期间高纬地区测站定位误差显著增大，水平和垂直方向均方根误差(root mean squared error,RMSE)增至约0.7 m及1.8 m. 相似文献
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电离层总电子含量(TEC)是电离层探测与研究工作的重要特征参量之一．利用地基GPS接收站台网,可以获得大量的垂直TEC数据．本文提出一种高精度TEC地图重构方法,基于Kriging法对垂直TEC进行插值处理,实现了亚大区域高分辨率TEC二维分布的重构,并与实测数据对比验证了本方法的精度和有效性．基于此二维分布,分析了区域TEC值随时间、纬度的变化情况;重点分析了磁静日与磁暴期间南北半球不同纬度TEC值的不同表现特征,并给出了磁暴期间不同纬度TEC的变化趋势所存在的差异及其解释,相关研究成果可为区域高分辨率电离层监测系统的建立提供方法支撑． 相似文献
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强地磁暴会引起电离层剧烈扰动,这对卫星导航定位精度有严重影响。文中采用空基-地基观测数据分析了全球电离层对2015-03-17强地磁暴的响应特征。结果表明,在地磁暴期间电离层扰动明显,且各地响应特征并不一致。从纬度上看,中低纬地区电离层TEC和foF2有明显增加趋势,而高纬地区电离层TEC和foF2明显小于背景值。从经度上看,电离层扰动主要分布在欧洲-非洲扇区和美洲扇区,该区域TEC高于背景值30 TECU,foF2高于背景值5 MHz。表明此次电离层对地磁暴的响应与热层O/N_2比的变化有关。 相似文献
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电离层参量的提取是开展电离层研究的基础,而数据同化技术则是获取电离层参量的一种重要手段。以NeQuick模型的输出作为背景场,Kalman滤波作为同化算法,利用数据同化技术实现区域电离层TEC重构,结果表明,数据同化方法重构的倾斜总电子含量（TEC）和垂直TEC与实测值较为一致。相比NeQuick模型及全球电离层地图（GIM）数据,数据同化方法重构得到的TEC的平均误差和标准差均有明显的降低,实测数据验证了数据同化技术在区域TEC重构中的精度和可靠性。 相似文献
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针对电离层电子总含量(TEC)存在非线性、非平稳,由多因素影响导致高噪声的问题,建立了补充集合经验模态分解(CEEMD)和广义回归神经网络(GRNN)模型相结合的CEEMD-GRNN电离层TEC预报模型. 以解决直接使用原始数据进行预测会导致拟合效果差、预测精度低的问题. 采用国际GNSS服务(IGS)中心提供的2019年电离层数据对高、中、低纬度磁暴和非磁暴的不同年积日数据进行实验,低纬处均方根误差(RMSE)最优可达到0.97 TECU,相对精度为91.28,验证了CEEMD-GRNN预报模型精度高于EMD-GRNN以及单一的GRNN模型. 相似文献
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胡文权 《测绘与空间地理信息》2023,(8):164-167
为了提高电离层TEC值的预报精度,建立更高精度的电离层TEC预报模型,本文在RBF神经网络模型的基础上引入奇异谱分析(Singular Spectrum Analysis, SSA)方法,构建新的电离层TEC预报模型。该组合模型首先通过SSA提取原始序列中的特征分量,避免噪声分量对预报结果的影响,其次将去噪后特征分量作为RBF神经网络模型的输入值。使用IGS中心提供的TEC数据序列进行模型验证,结果表明,无论是对平静期电离层TEC预报还是磁暴期电离层TEC预报,相比于单一的RBF神经网络模型预报结果,本文提出的SSA-RBF神经网络模型的预报结果均更优,其中平静期预报残差在2 TECU以内,磁暴期预报残差在3—4 TECU以内,验证了本文提出组合模型的优越性。 相似文献
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针对国际GNSS服务(IGS)各电离层分析中心发布的全球电离层图(GIM)在南极地区精度有限的问题,该文在收集IGS、极地对地观测网络(POLENET)计划和中国南极测绘研究中心(CACSM)的GPS数据的基础上,采用球冠谐分析理论建立了南极地区电离层电子总含量(TEC)模型。通过球冠谐分析的零阶项系数表示的日均值与实测TEC日均值的对比,表明二者具有很强相关性,验证了球冠谐分析具有良好的物理意义,可以有效提取南极电离层的周期特征。利用球冠谐函数模型对全南极电离层在2012年季节变化、空间分布和10月地磁暴期间的响应特征进行了分析。实验结果表明,基于球冠谐分析构建的电离层模型更适用于探测南极电离层的特征。 相似文献
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Dudy D. Wijaya Haris Haralambous Christina Oikonomou Wedyanto Kuntjoro 《Journal of Geodesy》2017,91(9):1117-1133
The critical frequency of ionospheric F2 layer (foF2) is a measure of the highest frequency of radio signal that may be reflected back by the F2 layer, and it is associated with ionospheric peak electron density in the F2 layer. Accurate long-term foF2 variations are usually derived from ionosonde observations. In this paper, we propose a new method to observe foF2 using a stand-alone global positioning system (GPS) receiver. The proposed method relies on the mathematical equation that relates foF2 to GPS observations. The equation is then implemented in the Kalman filter algorithm to estimate foF2 at every epoch of the observation (30-s rate). Unlike existing methods, the proposed method does not require any additional information from ionosonde observations and does not require any network of GPS receivers. It only requires as inputs the ionospheric scale height and the modeled plasmaspheric electron content, which practically can be derived from any existing ionospheric/plasmaspheric model. We applied the proposed method to estimate long-term variations of foF2 at three GPS stations located at the northern hemisphere (NICO, Cyprus), the southern hemisphere (STR1, Australia) and the south pole (SYOG, Antarctic). To assess the performance of the proposed method, we then compared the results against those derived by ionosonde observations and the International Reference Ionosphere (IRI) 2012 model. We found that, during the period of high solar activity (2011–2012), the values of absolute mean bias between foF2 derived by the proposed method and ionosonde observations are in the range of 0.2–0.5 MHz, while those during the period of low solar activity (2009–2010) are in the range of 0.05–0.15 MHz. Furthermore, the root-mean-square-error (RMSE) values during high and low solar activities are in the range of 0.8–0.9 MHz and of 0.6–0.7 MHz, respectively. We also noticed that the values of absolute mean bias and RMSE between foF2 derived by the proposed method and the IRI-2012 model are slightly larger than those between the proposed method and ionosonde observations. These results demonstrate that the proposed method can estimate foF2 with a comparable accuracy. Since the proposed method can estimate foF2 at every epoch of the observation, it therefore has promising applications for investigating various scales (from small to large) of foF2 irregularities. 相似文献
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A new global TEC model for estimating transionospheric radio wave propagation errors 总被引：4，自引：0，他引：4
Space-based navigation and radar systems operating at single frequencies of <10 GHz require ionospheric corrections of the
signal delay or range error. Because this ionospheric propagation error is proportional to the total electron content of the
ionosphere along the ray path, a user friendly TEC model covering global scale and all levels of solar activity should be
helpful in various applications. Since such a model is not available yet, we present an empirical model approach that allows
determining global TEC very easily. Although the number of model coefficients and parameters is rather small, the model describes
main ionospheric features with good quality. Presented is the empirical approach describing dependencies on local time, geographic/geomagnetic
location and solar irradiance and activity. The non-linear approach needs only 12 coefficients and a few empirically fixed
parameters for describing the broad spectrum of TEC variation at all levels of solar activity. The model approach is applied
on high-quality global TEC data derived by the Center for Orbit Determination in Europe (CODE) at the University of Berne
over more than half a solar cycle (1998–2007). The model fits to these input data with a negative bias of 0.3 TECU and a RMS
deviation of 7.5 TECU. As other empirical models too, the proposed Global Neustrelitz TEC
Model NTCM-GLis climatological, i.e. the model describes the average behaviour under quiet geomagnetic conditions. During severe space
weather events the actual TEC data may deviate from the model values considerably by more than 100%. A preliminary comparison
with independent data sets as TOPEX/Poseidon altimeter data reveals similar results for NeQuick and NTCM-GL with RMS deviations
in the order of 5 and 11 TECU (1 TECU = 1016 electrons/m2) for low and high-solar activity conditions, respectively. The more extended data base of ionosphere information that accumulates
in the coming years will help in further improving the set of coefficients of the model. 相似文献
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基于北斗GEO卫星独有的静地特性,本文利用其观测数据提取电离层TEC进行磁暴期间电离层TEC时空变化研究。同时利用全球电离层格网图GIM值进行试验对比,结果表明：北斗GEO卫星提取的TEC与GIM模型值变化趋势一致,并且前者可更有效地监测电离层的细微扰动变化。在此次磁暴发生期间,亚太地区电离层TEC变化及扰动响应特征在纬度方向差异明显。其中南北半球较高纬度区域,电离层TEC在磁暴主相阶段主要表现为正响应扰动,而赤道及北半球较低纬度区域,电离层TEC在磁暴主相及恢复相阶段均产生了强度更大、持续时间更长的正响应扰动。结合现有研究,认为造成此次电离层异常扰动的激励因素主要为东向快速穿透电场的增强及热层中性成分的变化。试验结果也证明了GEO卫星可以精准有效地监测在磁暴发生时电离层TEC的变化规律及不同空间位置处TEC产生的扰动响应特征。 相似文献
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The FORMOSAT-3/COSMIC mission has provided ample ionospheric electron density profiles retrieved from the global positioning
system radio occultation technique. Currently, there can be more than 2,000 electron density profiles acquired per day covering
the global ionosphere from altitude 90 to 800 km. Utilizing the advantage of such a complete coverage, we statistically analyze
how the ionospheric electron parameters NmF2, hmF2, and TEC respond to the geomagnetic index Dst for different magnetic latitudes
and magnetic local time (MLT) and on quiet and storm times. A data set of 24 months is used for this study, in which most
of the results focus on the low-latitude dayside regions. The results indicate that, in general, NmF2, hmF2, and TEC decrease
as Dst increases at all seasons. Only during the sudden commencement phase (SSC) of storm events, NmF2 and TEC appear to increase
as Dst increases. 相似文献
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Ionospheric delay is a dominant error source in Global Navigation Satellite System (GNSS). Single-frequency GNSS applications require ionospheric correction of signal delay caused by the charged particles in the earth’s ionosphere. The Chinese Beidou system is developing its own ionospheric model for single-frequency users. The number of single-frequency GNSS users and applications is expected to grow fast in the next years in China. Thus, developing an appropriate ionospheric model is crucially important for the Chinese Beidou system and worldwide single-frequency Beidou users. We study the performance of five globally accessible ionospheric models Global Ionospheric Map (GIM), International Reference Ionosphere (IRI), Parameterized Ionospheric Model (PIM), Klobuchar and NeQuick in low- and mid-latitude regions of China under mid-solar activity condition. Generally, all ionospheric models can reproduce the trend of diurnal ionosphere variations. It is found that all the models have better performances in mid-latitude than in low-latitude regions. When all the models are compared to the observed total electron content (TEC) data derived from GIM model, the IRI model (2012 version) has the best agreement with GIM model and the NeQuick has the poorest agreement. The RMS errors of the IRI model using the GIM TEC as reference truth are about 3.0–10.0 TECU in low-latitude regions and 3.0–8.0 TECU in mid-latitude regions, as observed during a period of 1 year with medium level of solar activity. When all the ionospheric models are ingested into single-frequency precise point positioning (PPP) to correct the ionospheric delays in GPS observations, the PIM model performs the best in both low and mid-latitudes in China. In mid-latitude, the daily single-frequency PPP accuracy using PIM model is ~10 cm in horizontal and ~20 cm in up direction. At low-latitude regions, the PPP error using PIM model is 10–20 cm in north, 30–40 cm in east and ~60 cm in up component. The single-frequency PPP solutions indicate that NeQuick model has the lowest accuracy among all the models in both low- and mid-latitude regions of China. This study suggests that the PIM model may be considered for single-frequency GNSS users in China to achieve a good positioning accuracy in both low- and mid-latitude regions. 相似文献