Regiomontan: A Regional High Precision Ionosphere Delay Model and Its Application in Precise Point Positioning

Boisits, Janina; Glaner, Marcus Franz; Weber, Robert L.

doi:10.3390/s20102845

Cited by 10 publications

(11 citation statements)

References 32 publications

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“…With the development of Global Navigation Satellite System (GNSS), multi-GNSS PPP are proposed for joint processing in order to improve the precision and shorten the convergence time (Cai and Gao, 2007;Li et al, 2015). The uncombined model is proposed as an alternative to ionospheric-free model since it retains ionospheric parameters in the equations and is more rigorous (Boisits et al, 2020;Keshin et al, 2006;Liu et al, 2017). Moreover, PPP-RTK (Real-Time Kinematic) is proposed in order to overcome the bottleneck of PPP, like long convergence time (Odijk et al, 2016;Teunissen et al, 2010;Zhang et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Comprehensive assessment of real-time precise products from IGS analysis centers

et al. 2022

Satell Navig

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Real-Time Precise Point Positioning (RT-PPP) has been one of the research hotspots in GNSS (Global Navigation Satellite System) community for decades. Real-time precise products of satellite orbits and clocks are the prerequisite for RT-PPP. Thus, it is of great importance to investigate the current multi-GNSS real-time precise products in State Space Representation (SSR) from different analysis centers. In this article, SSR products from 10 analysis centers are comprehensively evaluated by comparing them with the final products and performing the kinematic PPP. The results show that analysis centers CNES (Centre National D'Etudes Spatiales) and WHU (GNSS Research Center of Wuhan University) provide the most complete products with the best quality. Concerning the accuracy of real-time products for the GNSSs, the accuracies of orbit and clock products are better than 5 cm and 0.15 ns, respectively, for Global Positioning System (GPS), followed by Galileo navigation satellite system (Galileo), BeiDou-3 Navigation Satellite System (BDS-3), GLObal NAvigation Satellite System (GLONASS), and BeiDou-2 Navigation Satellite System (BDS-2). Meanwhile, the results of the RT-PPP with quad-system show that the positioning accuracies are 1.76, 1.12 and 2.68 cm in east, north, and up directions, respectively, and the convergence time to 0.1, 0.1, 0.2 m for corresponding directions is 15.35 min.

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Section: Introductionmentioning

confidence: 99%

Comprehensive assessment of real-time precise products from IGS analysis centers

et al. 2022

Satell Navig

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“…As an alternative to the IF LC, the uncombined model directly relies on raw GNSS measurements. This implicates different handling of the ionospheric delay, which allows including the ionospheric pseudo-observations (Lou et al 2016;Boisits et al 2020;An et al 2020). Furthermore, precise satellite orbits, clocks, and biases are applied, and modeled error sources on the measurements are omitted in the mathematical model, such as relativistic effects, phase wind-up, satellite and receiver phase center offset and variations, and deformation of the earth surface.…”

Section: Observation Modelmentioning

confidence: 99%

“…This modern approach is auspicious, considering ionospheric constraints and the multitude of frequencies used by today's GNSS constellations (Li et al 2015;Aggrey and Bisnath 2019). The uncombined PPP model is based on the idea that although it eliminates the first-order ionospheric delay, the IF LC increases the observation noise, which increases the convergence time (Lou et al 2016;Boisits et al 2020). Furthermore, it is much more flexible and suitable for observations on one or any number of frequencies (Ning et al 2019;An et al 2020).…”

Section: Introductionmentioning

confidence: 99%

PPP with integer ambiguity resolution for GPS and Galileo using satellite products from different analysis centers

Glaner

Weber

2021

GPS Solut

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Integer ambiguity resolution is the key for achieving the highest accuracy with Precise Point Positioning (PPP) and for significantly reducing the convergence time. Unfortunately, due to hardware phase biases originating from the satellites and receiver, fixing the phase ambiguities to their correct integer number is difficult in PPP. Nowadays, various institutions and analysis centers of the International GNSS Service (IGS) provide satellite products (orbits, clocks, biases) based on different strategies, which allow PPP with integer ambiguity resolution (PPP-AR) for GPS and Galileo. We present the theoretical background and practical application of the satellite products from CNES, CODE, SGG, and TUG. They are tested in combined GPS and Galileo PPP-AR solutions calculated using our in-house software raPPPid. The numerical results show that the choice of satellite product has an influence on the convergence time of the fixed solution. The satellite product of CODE performs better than the following, in the given order: SGGCODE, SGGGFZ, TUG, CNES, and SGGCNES. After the convergence period, a similar level of accuracy is achieved with all these products. With these satellite products and observations with an interval of 30 s, a mean convergence time of about 6 min to centimeter-level 2D positioning is achieved. Using high-rate observations and an observation interval of 1 s, this period can be reduced to a few minutes and, in the best case, just one minute.

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“…In order to estimate ZTD from the train-borne GNSS observations, the PPP technique is used. The PPP technique is characterized through the use of precise satellite products (e.g., orbits, clocks, and biases), accurate observation models, and sophisticated algorithms, which all are applied on the observation of a single GNSS receiver [31]. For a detailed discussion of the entire PPP algorithm, we refer to Zumberge et al [32] or Kouba and Héroux [33].…”

Section: Ppp Processingmentioning

confidence: 99%

Kinematic ZTD Estimation from Train-Borne Single-Frequency GNSS: Validation and Assimilation

Aichinger-Rosenberger

Weber

Hanna

2021

Remote Sensing

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Water vapour is one of the most important parameters utilized for the description of state and evolution of the Earth’s atmosphere. It is the most effective greenhouse gas and shows high variability, both in space and time. Thus, detailed knowledge of its distribution is of immense importance for weather forecasting, and therefore high resolution observations are crucial for accurate precipitation forecasts, especially for the short-term prediction of severe weather. Although not intentionally built for this purpose, Global Navigation Satellite Systems (GNSS) have proven to meet those requirements. The derivation of water vapour content from GNSS observations is based on the fact that electromagnetic signals are delayed when travelling through the atmosphere. The most prominent parameterization of this delay is the Zenith Total Delay (ZTD), which has been studied extensively as a major error term in GNSS positioning. On the other hand, the ZTD has also been proven to provide substantial benefits for atmospheric research and especially Numerical Weather Prediction (NWP) model performance. Based on these facts, the scientific area of GNSS Meteorology has emerged. The present study goes beyond the current status of GNSS Meteorology, showing how reasonable estimates of ZTD can be derived from highly-kinematic, single-frequency (SF) GNSS data. This data was gathered from trains of the Austrian Federal Railways (ÖBB) and processed using the Precise Point Positioning (PPP) technique. The special nature of the observations yields a number of additional challenges, ranging from appropriate pre-processing and parameter settings in PPP to more sophisticated validation and assimilation methodologies . The treatment of the ionosphere for SF-GNSS data represents one of the major challenges of this study. Two test cases (train travels) were processed using different strategies and validated using ZTD calculated from ERA5 reanalysis data. The validation results indicate a good overall agreement between the GNSS-ZTD solutions and ERA5-derived ZTD, although substantial variability between solutions was still observed for specific sections of the test tracks. The bias and standard deviation values ranged between 1 mm and 8 cm, heavily depending on the utilized processing strategy and investigated train route. Finally, initial experiments for the assimilation of GNSS-ZTD estimates into a NWP model were conducted, and the results showed observation acceptance rates of 30–100% largely depending on the test case and processing strategy.

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Regiomontan: A Regional High Precision Ionosphere Delay Model and Its Application in Precise Point Positioning

Cited by 10 publications

References 32 publications

Comprehensive assessment of real-time precise products from IGS analysis centers

Comprehensive assessment of real-time precise products from IGS analysis centers

PPP with integer ambiguity resolution for GPS and Galileo using satellite products from different analysis centers

Kinematic ZTD Estimation from Train-Borne Single-Frequency GNSS: Validation and Assimilation

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