Evaluation of ionospheric height assumption for single station GPS-TEC derivation

Lu, Weijun; Ma, Guanyi; Wang, Xiaolan; Wan, Qingtao; Li, Jinghua

doi:10.1016/j.asr.2017.01.019

Cited by 9 publications

(6 citation statements)

References 17 publications

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“…While many studies have investigated methods for estimating [16][17][18][19][20] and forecasting the ionospheric VTEC [23][24][25][26][27][28][29][30][31][32] based on GNSS observing data, very little work has been done on using Long term GNSS observation data from an equatorial ionization anomaly region for high precision estimation and prediction of the ionospheric VTEC. Two experiments were carried out in this study.…”

Section: Discussionmentioning

confidence: 99%

“…High-precision ionospheric TEC estimation requires an accurate calculation of the system hardware delay (i.e., differential code bias or DCB) of the receiver and satellite. Currently, the main solution methods are the grid condition constraint, polynomial model, spherical harmonic function methods [16][17][18], as well as the Kalman method [19,20]. In low-latitude regions, particularly in the equatorial anomaly region, ionospheric TEC results obtained using the above system hardware delay solution method cannot accurately reflect the real changes in the ionospheric TEC in the region, which adversely affect the accuracy in the performance of ionospheric TEC prediction models [21,22].…”

Section: Introductionmentioning

confidence: 99%

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A Novel Technique for High-Precision Ionospheric VTEC Estimation and Prediction at the Equatorial Ionization Anomaly Region: A Case Study over Haikou Station

Wang

Zhu²,

Sheng³

et al. 2023

Remote Sensing

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This paper introduces a novel technique that uses observation data from GNSS to estimate the ionospheric vertical total electron content (VTEC) using the Kriging–Kalman method. The technique provides a method to validate the accuracy of the Ionospheric VTEC analysis within the Equatorial Ionization anomaly region. The technique developed uses GNSS VTEC alongside solar parameters, such as solar radio flux (F10.7 cm), Disturbance Storm Time (Dst) and other data, and Long Short Term Memory (LSTM) Networks to predict the occurrence time of the ionospheric equatorial anomaly and ionospheric VTEC changes. The LSTM method was applied to GNSS data from Haikou Station. A comparison of this technique with the neural network (NN) model and International Reference Ionosphere model shows that the LSTM outperforms all of them at VTEC estimation and prediction. The results, which are based on the root mean square error (RMSE) between GNSS VTEC and GIM VTEC outside the equatorial anomaly region, was 1.42 TECU, and the results of GNSS VTEC and VTEC from Beidou geostationary orbit satellite, which lies inside the equatorial ionization anomaly region, was 1.92 TECU. The method developed can be used in VTEC prediction and estimation in real time space operations.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Novel Technique for High-Precision Ionospheric VTEC Estimation and Prediction at the Equatorial Ionization Anomaly Region: A Case Study over Haikou Station

Wang

Zhu²,

Sheng³

et al. 2023

Remote Sensing

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“…At the beginning of "VTEC result" section, we assume that the height of ionospheric shell is fixed at 400 km to simplify the calculation. But actually, the height of the ionospheric shell always changes with time and place (Wang et al 2016;Lu et al 2017). For PSGM, the change of shell height parameter is easier to map IPPs to different grids under different satellite elevation than PBGM.…”

Section: Shell Height Parameter Optimizationmentioning

confidence: 99%

High-precision VTEC derivation with GEONET

Maruyama

et al. 2020

Earth Planets Space

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This paper proposes a new technique, namely Phase bias-based Small Grid Model (PSGM), to derive absolute ionospheric vertical total electron content (VTEC) with observations of Global Navigation Satellite System Earth Observation Network of Japan (GEONET). The proposed technique deals with the phase observations alone without handling the pseudoranges, which reduces the noise in VTEC estimation. A new parameter, the arc bias (B arc), is introduced to combine the phase ambiguities and differential phase biases. To solve B arc , equations are constructed under the assumption that the VTEC is identical in the same 0.1° × 0.1° grid. The performance of PSGM is evaluated with the observations in solar maximum year 2014. The root mean square error (RMSE) of PSGM is 0.40 TECU in average, the maximum RMSE is 0.73 TECU and the minimum RMSE is 0.26 TECU. The fitting accuracy of the VTEC results is improved compared with most of the existing methods.

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“…Lanyi and Roth [21] proposed a polynomial model for single-station TEC derivation, and a single-station receiver bias can be estimated while using this model [22]. This method was used by Lu et al [23] to study the effects of ionospheric shell height on GPS-based TEC derivation by a single station, while Kao et al [24] applied this method to multi-stations. Chen et al [25] analyzed the applicability of the sophisticated Klobuchar model for VTEC in China.…”

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confidence: 99%

Research on Accelerating Single-Frequency Precise Point Positioning Convergence with Atmospheric Constraint

et al. 2019

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An increasing number of researchers have conducted in-depth research on the advantages of low-cost single-frequency (SF) receivers, which can effectively use ionospheric information when compared to dual-frequency ionospheric-free combination. However, SF observations are bound to increase the unknown parameters and prolong the convergence time. It is desirable if the convergence time can be reduced by external information constraints, for example atmospheric constraints, which include ionosphere-or troposphere constraints. In this study, ionospheric delay constraints, tropospheric delay constraints, and their dual constraints were considered. Additionally, a total of 18,720 test experiments were performed. First, the nearest-neighbor extrapolation (NENE), bilinear-(BILI), bicubic-(BICU), and Junkins weighted-interpolation (JUNK) method of Global Ionospheric Map (GIM) grid products were analyzed. The statistically verified BILI in the percentage of convergence time, average convergence time, and computation time consumption of them shows a good advantage. Next, the influences of global troposphere-and ionosphere-constrained on the convergence time of SF Precise Point Positioning (PPP) were analyzed. It is verified that the ionosphere-constrained (TIC2) has significant influence on the convergence time in the horizontal and vertical components, while the troposphere-constrained (TIC1) has better effect on the convergence time in the vertical components within some thresholds. Of course, the dual constraint (TIC3) has the shortest average convergence time, which is at least 46.5% shorter in static mode and 5.4% in kinematic mode than standard SF PPP (TIC0).for instance, determines the precise orbit, surface ice flow speed, as well as positioning, navigation and timing (PNT) applications [2][3][4]. The traditional PPP models are based on Ionosphere-Free (IF) combinations with dual-frequency raw phase and code observations for the removal of the first-order effect of ionospheric refraction [5]. However, the second-and third-order ionospheric effects still exist and they may cause measurements errors of sub-centimeters in GPS [6,7]. Therefore, traditional PPP technology based on IF combinations cannot obtain ionospheric information, and the ionospheric error is not completely eliminated. In the last few years, PPP used raw observations has received an increasing amount of research attention because of its several advantages as compared to traditional IF PPP, particularly the development of new multi-frequency GNSS [8].The ionosphere refers to the atmospheric space starting at 60 km above the ground and extending to the magnetosphere. The Global Navigation Satellite System (GNSS) signal will generate ionospheric delay after passing through the ionosphere. A large number of models are currently being used to describe the delay that the ionosphere produces for electromagnetic signals propagating from satellites to receivers. If the delay is not corrected, it can have an important impact on the positioning accuracy of GNS...

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Evaluation of ionospheric height assumption for single station GPS-TEC derivation

Cited by 9 publications

References 17 publications

A Novel Technique for High-Precision Ionospheric VTEC Estimation and Prediction at the Equatorial Ionization Anomaly Region: A Case Study over Haikou Station

A Novel Technique for High-Precision Ionospheric VTEC Estimation and Prediction at the Equatorial Ionization Anomaly Region: A Case Study over Haikou Station

High-precision VTEC derivation with GEONET

Research on Accelerating Single-Frequency Precise Point Positioning Convergence with Atmospheric Constraint

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