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Application of SWACI products as ionospheric correction for single-point positioning: a comparative study 总被引：1，自引：0，他引：1
In Global Navigation Satellite Systems (GNSS) using L-band frequencies, the ionosphere causes signal delays that correspond with link related range errors of up to 100 m. In a first order approximation the range error is proportional to the total electron content (TEC) of the ionosphere. Whereas this first order range error can be corrected in dual-frequency measurements by a linear combination of carrier phase- or code-ranges of both frequencies, single-frequency users need additional information to mitigate the ionospheric error. This information can be provided by TEC maps deduced from corresponding GNSS measurements or by ionospheric models. In this paper we discuss and compare different ionospheric correction methods for single-frequency users. The focus is on the comparison of the positioning quality using dual-frequency measurements, the Klobuchar model, the NeQuick model, the IGS TEC maps, the Neustrelitz TEC Model (NTCM-GL) and the reconstructed NTCM-GL TEC maps both provided via the ionosphere data service SWACI (http://swaciweb.dlr.de) in near real-time. For that purpose, data from different locations covering several days in 2011 and 2012 are investigated, including periods of quiet and disturbed ionospheric conditions. In applying the NTCM-GL based corrections instead of the Klobuchar model, positioning accuracy improvements up to several meters have been found for the European region in dependence on the ionospheric conditions. Further in mid- and low-latitudes the NTCM-GL model provides results comparable to NeQuick during the considered time periods. Moreover, in regions with a dense GNSS ground station network the reconstructed NTCM-GL TEC maps are partly at the same level as the final IGS TEC maps. 相似文献
3.
The ionospheric eclipse factor method (IEFM) and its application to determining the ionospheric delay for GPS 总被引：4，自引：1，他引：3
A new method for modeling the ionospheric delay using global positioning system (GPS) data is proposed, called the ionospheric
eclipse factor method (IEFM). It is based on establishing a concept referred to as the ionospheric eclipse factor (IEF) λ
of the ionospheric pierce point (IPP) and the IEF’s influence factor (IFF) . The IEF can be used to make a relatively precise distinction between ionospheric daytime and nighttime, whereas the IFF
is advantageous for describing the IEF’s variations with day, month, season and year, associated with seasonal variations
of total electron content (TEC) of the ionosphere. By combining λ and with the local time t of IPP, the IEFM has the ability to precisely distinguish between ionospheric daytime and nighttime, as well as efficiently
combine them during different seasons or months over a year at the IPP. The IEFM-based ionospheric delay estimates are validated
by combining an absolute positioning mode with several ionospheric delay correction models or algorithms, using GPS data at
an international Global Navigation Satellite System (GNSS) service (IGS) station (WTZR). Our results indicate that the IEFM
may further improve ionospheric delay modeling using GPS data. 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
6.
An approach to modeling the regional ionospheric total electron content (TEC) based on spherical cap harmonic analysis is
presented. This approach not only provides a better regional TEC mapping accuracy, but also the capability for ionospheric
model prediction based on spectrum analysis and least squares collocation. Unlike conventional approaches, which predict the
immediate TEC with models using current observations, the spherical cap harmonic approach utilizes models using past observations
to predict a model which will provide future TEC values. A significant advantage in comparison with conventional approaches
is that the spherical cap harmonic approach can be used to predict the long-term TEC with reasonable accuracy. This study
processes a set of GPS data with an observation time span of 1 year from two GPS networks in China. The TEC mapping accuracy
of the spherical cap harmonic model is compared with the polynomial model and the global ionosphere model from IGS. The results
show that the spherical cap harmonic model has a better TEC mapping accuracy with smoother residual distributions in both
temporal and spatial domains. The TEC prediction with the spherical cap harmonic model has been investigated for both short-
and long-term intervals. For the short-term interval, the prediction accuracies for the latencies of 1-day, 2-days, and 3-days
are 2.5 TECU, 3.5 TECU, and 4.5 TECU, respectively. For the long-term interval, the prediction accuracy is 4.5 TECU for a
2-month latency. 相似文献
7.
Patricia Doherty joins the regular contributors of this column to discuss the correlation between measurements of solar 10.7
cm radio flux and ionospheric range delay effects on GPS. Mrs. Doherty has extensive experience in the analysis of ionospheric
range delays from worldwide systems and in the utilization and development of analytical and theoretical models of the Earth's
ionosphere.
Ionospheric range delay effects on GPS and other satellite ranging systems are directly proportional to the Total Electron
Content (TEC) encountered along slant paths from a satellite to a ground location. TEC is a highly variable and complex parameer
that is a function of geographic location, local time, season, geomagnetic activity, and solar activity. When insufficiently
accounted for, ionospheric TEC can seriously limit the performance of satellite ranging applications. Since the ionosphere
is a dispersive medium, dual-frequency Global Positoning System (GPS) users can make automatic corrections for ionospheric
range delay by computing the apparent difference in the time delays between the two signals. Single-frequency GPS users must
depend on alternate methods to account for the ionospheric range delay. Various models of the ionosphere have been used to
provide estimates of ionospheric range delay. These models range from the GPS system's simple eight-coefficient algorithm
designed to correct for approximately 50% rms of the TEC, to state-of-the-art models derived from physical first principles,
which can correct for up to 70 to 80% rms of the TEC but at a much greater computational cost.
In an effort to improve corrections for the day-to-day variability of the ionosphere, some attempts have been made to predict
the TEC by using the daily values of solar 10.7 cm radio flux (F10,7). The purpose of this article is to show that this type of prediction is not useful due to irregular, and sometimes very
poor, correlation between daily values of TEC and F10.7. Long-term measurements of solar radio flux, however, have been shown to be well correlated with monthly mean TEC, as well
as with the critical frequency of the inonospheric F2 region (foF2), which is proportional to the electron density at the
peak of the ionospheric F2 region. ? 2000 John Wiley & Sons, Inc. 相似文献
8.
The ionospheric impact of the October 2003 storm event on Wide Area Augmentation System 总被引：4，自引：2，他引：2
The United States Federal Aviation Administrations (FAA) Wide-Area Augmentation System (WAAS) for civil aircraft navigation is focused primarily on the Conterminous United States (CONUS). Other Satellite-Based Augmentation Systems (SBAS) include the European Geostationary Navigation Overlay Service (EGNOS) and the Japanese Multi-transport Satellite-based Augmentation System (MSAS). Navigation using WAAS requires accurate calibration of ionospheric delays. To provide delay corrections for single frequency global positioning system (GPS) users, the wide-area differential GPS systems depend upon accurate determination of ionospheric total electron content (TEC) along radio links. Dual-frequency transmissions from GPS satellites have been used for many years to measure and map ionospheric TEC on regional and global scales. The October 2003 solar-terrestrial events are significant not only for their dramatic scale, but also for their unique phasing of solar irradiance and geomagnetic events. During 28 October, the solar X-ray and EUV irradiances were exceptionally high while the geomagnetic activity was relatively normal. Conversely, 29–31 October was geomagnetically active while solar irradiances were relatively low. These events had the most severe impact in recent history on the CONUS region and therefore had a significant effect on the WAAS performance. To help better understand the event and its impact on WAAS, we examine in detail the WAAS reference site (WRS) data consisting of triple redundant dual-frequency GPS receivers at 25 different locations within the US. To provide ground-truth, we take advantage of the three co-located GPS receivers at each WAAS reference site. To generate ground-truth and calibrate GPS receiver and transmitter inter-frequency biases, we process the GPS data using the Global Ionospheric Mapping (GIM) software developed at the Jet Propulsion Laboratory. This software allows us to compute calibrated high resolution observations of TEC. We found ionospheric range delays up to 35 m for the day-time CONUS during quiet conditions and up to 100 m during storm time conditions. For a quiet day, we obtained WAAS planar fit slant residuals less than 2 m (0.4 m root mean square (RMS)) and less than 25 m (3.4 m RMS) for the storm day. We also investigated ionospheric gradients, averaged over distances of a few hundred kilometers. The gradients were no larger than 0.5 m over 100 km for a quiet day. For the storm day, we found gradients at the 4 m level over 100 km. Similar level gradients are typically observed in the low-latitude region for quiet or storm conditions. 相似文献
9.
The network-based GPS technique provides a broad spectrum of corrections to support RTK (real-time kinematic) surveying and
geodetic applications. The most important among them are the ionospheric corrections generated in the reference network. The
accuracy of these corrections depends upon the ionospheric conditions and may not always be sufficient to support ambiguity
resolution (AR), and hence accurate GPS positioning. This paper presents the analyses of the network-derived ionospheric correction
accuracy under extremely varying – quiet and stormy – geomagnetic and ionospheric conditions. In addition, the influence of
the correction accuracy on the instantaneous (single-epoch) and on-the-fly (OTF) AR in long-range RTK GPS positioning is investigated,
and the results, based on post-processed GPS data, are provided. The network used here to generate the ionospheric corrections
consists of three permanent stations selected from the Ohio Continuously Operating Reference Stations (CORS) network. The
average separation between the reference stations was ∼200 km and the test baseline was 121 km long. The results show that,
during the severe ionospheric storm, the correction accuracy deteriorates to the point when the instantaneous AR is no longer
possible, and the OTF AR requires much more time to fix the integers. The analyses presented here also outline the importance
of the correct selection of the stochastic constraints in the rover solution applied to the network-derived ionospheric corrections. 相似文献
10.
RINEX_HO: second- and third-order ionospheric corrections for RINEX observation files 总被引：1，自引：0，他引：1
When GNSS receivers capable of collecting dual-frequency data are available, it is possible to eliminate the first-order ionospheric
effect in the data processing through the ionosphere-free linear combination. However, the second- and third-order ionospheric
effects still remain. The first-, second- and third-order ionospheric effects are directly proportional to the total electron
content (TEC), although the second- and third-order effects are influenced, respectively, by the geomagnetic field and the
maximum electron density. In recent years, the international scientific community has given more attention to these kinds
of effects and some works have shown that for high precision GNSS positioning these effects have to be taken into consideration.
We present a software tool called RINEX_HO that was developed to correct GPS observables for second- and third-order ionosphere
effects. RINEX_HO requires as input a RINEX observation file, then computes the second- and third-order ionospheric effects,
and applies the corrections to the original GPS observables, creating a corrected RINEX file. The mathematical models implemented
to compute these effects are presented, as well as the transformations involving the earth’s magnetic field. The use of TEC
from global ionospheric maps and TEC calculated from raw pseudorange measurements or pseudoranges smoothed by phase is also
investigated. 相似文献
11.
利用GPS双频观测数据分析了仪器偏差对计算电离层TEC的影响,结果表明忽略仪器偏差的影响不能正确反映测站上空电离层总电子含量的变化规律。验证了短期内仪器偏差的稳定性,并在此基础上研究了2005年太阳活动低峰年区域电离层VTEC的周年变化规律,揭示了电离层VTEC半年变化、季节性变化及冬季异常等现象。 相似文献
12.
用双频GPS观测值建立小区域电离层延迟模型研究 总被引：19，自引：4，他引：19
介绍了用双频GPS伪距观测值建立区域性电离层模型的基本原理和方法。模型的初步结果表明，该电离层模型建立后，可为性病区域的广大单频用户提供在天顶方向优于0．4m精度的电离层延迟改正量，且具有30min以内天顶方向优于0．4m的预报精度。 相似文献
13.
探讨了OpenMP多线程技术在全球电离层建模中的应用。在日固地磁参考系下采用15阶次的球谐展开建立全球电离层模型,并对1天解、3天解两种方案的结果与IGS电离层产品进行了对比,电离层图偏差的均方根约3~5 TECU,且3天解的方案首尾两组电离层图与IGS产品符合得更好;卫星差分码偏差和接收机差分码偏差与IGS的差异分别约为0.2 ns和2 ns,仅有少数几个接收机差分码偏差在少数几天与IGS差异较大,超过3~4 ns。实验中使用Dell服务器R730（配置:128 GB内存、2个CPU、8个核心和32个线程数）,采用OpenMP多线程并行计算能够明显提高全球电离层模型的建模效率,单天解算仅需约7 min,3天解算需约22 min,效率提升近8倍。使用3 d观测数据并采用OpenMP多线程并行计算来建立全球电离层模型可有效节省建模时间,同时还能提高首尾两组模型系数的精度以进一步提升全球电离层模型的精度,对建模算法的测试、电离层产品的快速发布以及模型后续检验和预测等带来了便利,也为后续实现利用多卫星导航系统观测数据快速建立全球电离层模型提供了参考。 相似文献
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Experimental analysis was performed using multiplicative algebraic reconstruction technique (MART) to map the ionosphere over Brazil. Code and phase observations from the global navigation satellite system (GNSS) together with the international reference ionosphere (IRI) enabled the estimation of ionospheric profiles and total electron content (TEC) over the entire region. Twenty-four days of data collected from existing ground-based GNSS receivers during the recent solar maximum period were used to analyze the performance of the MART algorithm. The results were compared with four ionosondes. It was demonstrated that MART estimated the electron density peak with the same degree of accuracy as the IRI model in regions with appropriate geometrical coverage by GNSS receivers for tomographic reconstruction. In addition, the slant TEC, as estimated with MART, presented lower root-mean-square error than the TEC calculated by ionospheric maps available from the International GNSS Service (IGS). Furthermore, the daily variations of the ionosphere were better represented with the algebraic techniques, compared to the IRI model and IGS maps, enabling a correlation of the elevation of the ionosphere at higher altitudes with the equatorial ionization anomaly intensification. The tomographic representations also enabled the detection of high vertical gradients at the same instants in which ionospheric irregularities were evident. 相似文献
16.
The mapping function is commonly used to convert slant to vertical total electron content (TEC) based on the assumption that the ionospheric electrons concentrate in a layer. The height of the layer is called ionospheric effective height (IEH) or shell height. The mapping function and IEH are generally well understood for ground-based global navigation satellite system (GNSS) observations, but they are rarely studied for the low earth orbit (LEO) satellite-based TEC conversion. This study is to examine the applicability of three mapping functions for LEO-based GNSS observations. Two IEH calculating methods, namely the centroid method based on the definition of the centroid and the integral method based on one half of the total integral, are discussed. It is found that the IEHs increase linearly with the orbit altitudes ranging from 400 to 1400 km. Model simulations are used to compare the vertical TEC converted by these mapping functions and the vertical TEC directly calculated by the model. Our results illustrate that the F&K (Foelsche and Kirchengast) geometric mapping function together with the IEH from the centroid method is more suitable for the LEO-based TEC conversion, though the thin layer model along with the IEH of the integral method is more appropriate for the ground-based vertical TEC retrieval. 相似文献
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Combination of different space-geodetic observations for regional ionosphere modeling 总被引：2，自引：1，他引：1
Denise Dettmering Michael Schmidt Robert Heinkelmann Manuela Seitz 《Journal of Geodesy》2011,85(12):989-998
Most of the space-geodetic observation techniques can be used for modeling the distribution of free electrons in the Earth’s
ionosphere. By combining different techniques one can take advantage of their different spatial and temporal distributions
as well as their different observation characteristics and sensitivities concerning ionospheric parameter estimation. The
present publication introduces a procedure for multi-dimensional ionospheric modeling. The model consists of a given reference
part and an unknown correction part expanded in terms of B-spline functions. This approach is used to compute regional models
of Vertical Total Electron Content (VTEC) based on the International Reference Ionosphere (IRI 2007) and GPS observations
from terrestrial Global Navigation Satellite System (GNSS) reference stations, radio occultation data from Low Earth Orbiters
(LEOs), dual-frequency radar altimetry measurements, and data obtained by Very Long Baseline Interferometry (VLBI). The approach
overcomes deficiencies in the climatological IRI model and reaches the same level of accuracy than GNSS-based VTEC maps from
IGS. In areas without GNSS observations (e.g., over the oceans) radio occultations and altimetry provide valuable measurements
and further improve the VTEC maps. Moreover, the approach supplies information on the offsets between different observation
techniques as well as on their different sensitivity for ionosphere modeling. Altogether, the present procedure helps to derive
improved ionospheric corrections (e.g., for one-frequency radar altimeters) and at the same time it improves our knowledge
on the Earth’s ionosphere. 相似文献
19.
Current dual-frequency GPS measurements can only eliminate the first-order ionospheric term and may cause a higher-order range
bias of several centimeters. This research investigates the second-order ionospheric effect for GNSS users in Europe. In comparison
to previous studies, the electron density profiles of the ionosphere/plasmasphere are modeled as the sum of three Chapman
layers describing electron densities of the ionospheric F2, F1 and E layers and a superposed exponential decay function describing the plasmasphere. The International Geomagnetic Reference
Field model is used to calculate the geomagnetic field vectors at numerous points along the incoming ray paths. Based on extended
simulation studies, we derive a correction formula to compute the average value of the longitudinal component of the earth’s
magnetic field along the line-of-sight as a function of geographic latitude and longitude, and geometrical parameters such
as elevation and azimuth angles. Using our correction formula in conjunction with the total electron content (TEC) along the
line-of-sight, the second-order ionospheric term can be corrected to the millimeter level for a vertical TEC level of 1018 electrons/m2. 相似文献
20.
Local variability in total electron content can seriously affect the accuracy of GNSS real-time applications. We have developed
software to compute the positioning error due to the ionosphere for all baselines of the Belgian GPS network, called the Active
Geodetic Network (AGN). In a first step, a reference day has been chosen to validate the methodology by comparing results
with the nominal accuracy of relative positioning at centimeter level. Then, the effects of two types of ionospheric disturbances
on the positioning error have been analyzed: (1) Traveling ionospheric disturbances (TIDs) and (2) noise-like variability
due to geomagnetic storms. The influence of baseline length on positioning error has been analyzed for these three cases.
The analysis shows that geomagnetic storms induce the largest positioning error (more than 2 m for a 20 km baseline) and that
the positioning error depends on the baseline orientation. Baselines oriented parallel to the propagation direction of the
ionospheric disturbances are more affected than others. The positioning error due to ionospheric small-scale structures can
be so identified by our method, which is not always the case with the modern ionosphere mitigation techniques. In the future,
this ionospheric impact formulation could be considered in the development of an integrity monitoring service for GNSS relative
positioning users. 相似文献