An Enhanced Real-Time Regional Ionospheric Model Using IGS Real-Time Service (IGS-RTS) Products

Abdelazeem, Mohamed; Çeli̇k, Rahmi Nurhan; El-Rabbany, Ahmed

doi:10.1017/s0373463315000740

Cited by 22 publications

(11 citation statements)

References 4 publications

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“…It should be also noted that the type of mapping function in the atmospheric effect calculation process contributes to the final solution accuracy as well. Allain and Mitchell (2009) examined the tomographic mapping function known as the Multi-Instrument Data Analysis System (MIDAS) with ionospheric effect determination for the single-frequency data. Research has shown that daily positioning errors are up to 50 % lower in comparison to positioning using the Klobuchar algorithm or IRI when the surrounding distribution of receivers are favourable.…”

Section: Spp With Ionospheric Corrections Using the Klobuchar Algoritmentioning

confidence: 99%

“…High-quality representation of the ionosphere influence on positioning can be obtained by the global ionospheric models (GIMs), used mostly in the post-processing purposes as explained in Ciećko and Grunwald (2020). It is worth noting that Abdelazeem et al (2016) developed the regional ionospheric model over the European area and implemented it in precise point positioning (PPP), operating in real time using the real-time service (RTS) products of the IGS. The results present an improvement in the accuracy on the level of 40 % (under the midlatitude region) in the 3-D position relating to the IGS-GIM.…”

Section: Introductionmentioning

confidence: 99%

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Single point positioning with vertical total electron content estimation based on single-epoch data

Fischer

Cellmer

Nowel

2021

Geosci. Instrum. Method. Data Syst.

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Abstract. This paper proposes a new mathematical method of ionospheric delay estimation in single point positioning (SPP) using a single-frequency receiver. The proposed approach focuses on the Δ vertical total electron content (VTEC) component estimation (MSPPwithdVTEC) with the assumption of an initial and constant value equal to 5 TECU in any observed epoch. The principal purpose of the study is to examine the reliability of this approach to become independent from the external data in the ionospheric correction calculation process. To verify the MSPPwithdVTEC, the SPP with the Klobuchar algorithm was employed as a reference model, utilizing the coefficients from the navigation message. Moreover, to specify the level of precision of the MSPPwithdVTEC, the SPP with the International Global Navigation Satellite Systems (GNSS) Service (IGS) TEC map was adopted for comparison as the high-quality product in the ionospheric delay determination. To perform the computational tests, real code data were involved from three different localizations in Scandinavia using two parallel days. The criterion was the ionospheric changes depending on geodetic latitude. Referring to the Klobuchar model, the MSPPwithdVTEC obtained a significant improvement of 15 %–25 % in the final SPP solutions. For the SPP approach employing the IGS TEC map and for the MSPPwithdVTEC, the difference in error reduction was not significant, and it did not exceed 1.0 % for the IGS TEC map. Therefore, the MSPPwithdVTEC can be assessed as an accurate SPP method based on error reduction value, close to the SPP approach with the IGS TEC map. The main advantage of the proposed approach is that it does not need external data.

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Section: Spp With Ionospheric Corrections Using the Klobuchar Algoritmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Single point positioning with vertical total electron content estimation based on single-epoch data

Fischer

Cellmer

Nowel

2021

Geosci. Instrum. Method. Data Syst.

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“…Fortunately, the International GNSS Service (IGS) RTS has been providing access to continuous real-time GNSS forecast ephemeris and clock corrections since the 1 April 2013 [ 28 , 29 ]. The accuracy of RTS products is about 8 cm for GPS ephemeris and 0.3 ns for GPS satellite clocks [ 28 , 30 ], which is enough high for real-time precise positioning.…”

Section: Time-relative Positioning Algorithm Based On Tdcp Measurementioning

confidence: 99%

An Improved Long-Period Precise Time-Relative Positioning Method Based on RTS Data

Lü

et al. 2020

Sensors

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The high precision positioning can be easily achieved by using real-time kinematic (RTK) and precise point positioning (PPP) or their augmented techniques, such as network RTK (NRTK) and PPP-RTK, even if they also have their own shortfalls. A reference station and datalink are required for RTK or NRTK. Though the PPP technique can provide high accuracy position data, it needs an initialisation time of 10–30 min. The time-relative positioning method estimates the difference between positions at two epochs by means of a single receiver, which can overcome these issues within short period to some degree. The positioning error significantly increases for long-period precise positioning as consequence of the variation of various errors in GNSS (Global Navigation Satellite System) measurements over time. Furthermore, the accuracy of traditional time-relative positioning is very sensitive to the initial positioning error. In order to overcome these issues, an improved time-relative positioning algorithm is proposed in this paper. The improved time-relative positioning method employs PPP model to estimate the parameters of current epoch including position vector, float ionosphere-free (IF) ambiguities, so that these estimated float IF ambiguities are used as a constraint of the base epoch. Thus, the position of the base epoch can be estimated by means of a robust Kalman filter, so that the position of the current epoch with reference to the base epoch can be obtained by differencing the position vectors between the base epoch and the current one. The numerical results obtained during static and dynamic tests show that the proposed positioning algorithm can achieve a positioning accuracy of a few centimetres in one hour. As expected, the positioning accuracy is highly improved by combining GPS, BeiDou and Galileo as a consequence of a higher amount of used satellites and a more uniform geometrical distribution of the satellites themselves. Furthermore, the positioning accuracy achieved by using the positioning algorithm here described is not affected by the initial positioning error, because there is no approximation similar to that of the traditional time-relative positioning. The improved time-relative positioning method can be used to provide long-period high precision positioning by using a single dual-frequency (L1/L2) satellite receiver.

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“…The accuracy of the developed RIM is validated for PPP applications. It is found that the positioning accuracy of the proposed RIM is superior to that of the IGS-GIM, where the RMSE values are reduced from ±0·325 to 0·25 m and from ±0·904 to 0·499 m, for the horizontal and height components, respectively (Abdelazeem et al, 2015). In order to produce the RIM, GPS observations from a regional network consisting of 60 International GNSS Service (IGS) and EUREF reference stations are processed in the Bernese-5·20 PPP module in order to estimate the VTEC values.…”

Section: Introductionmentioning

confidence: 99%

MGR-DCB: A Precise Model for Multi-Constellation GNSS Receiver Differential Code Bias

2015

Self Cite

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In this study, we develop a Multi-constellation Global Navigation Satellite System (GNSS) Receiver Differential Code Bias (MGR-DCB) model. The model estimates the receiver DCBs for the Global Positioning System (GPS), BeiDou and Galileo signals from the ionosphere-corrected geometry-free linear combinations of the code observations. In order to account for the ionospheric delay, a Regional Ionospheric Model (RIM) over Europe is developed. GPS observations from 60 International GNSS Servoce (IGS) and EUREF reference stations are processed in the Bernese-5·2 Precise Point Positioning (PPP) module to estimate the Vertical Total Electron Content (VTEC). The RIM has spatial and temporal resolutions of 2. Differential Code Bias.

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An Enhanced Real-Time Regional Ionospheric Model Using IGS Real-Time Service (IGS-RTS) Products

Cited by 22 publications

References 4 publications

Single point positioning with vertical total electron content estimation based on single-epoch data

Single point positioning with vertical total electron content estimation based on single-epoch data

An Improved Long-Period Precise Time-Relative Positioning Method Based on RTS Data

MGR-DCB: A Precise Model for Multi-Constellation GNSS Receiver Differential Code Bias

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