Assessment of ionospheric corrections for PPP-RTK using regional ionosphere modelling

Psychas, Dimitrios; Verhagen, Sandra; Liu, X.; Memarzadeh, Y.; Visser, Hans

doi:10.1088/1361-6501/aaefe5

Cited by 52 publications

(27 citation statements)

References 35 publications

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“…It is worth noting that the interpretations of the estimable parameters under one S-basis would be different from others. Examples of the applicability of the S-system theory to PPP-RTK can be found in [51,52]. It is emphasized that some of the estimable parameters might be the combinations of the original parameters after applying this method, i.e., not all estimable parameters are their original counterparts.…”

Section: Ppp-rtk Modelmentioning

confidence: 99%

Assessing the Performance of Multi-GNSS PPP-RTK in the Local Area

Zhao

Verhagen

et al. 2020

Remote Sensing

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The benefits of an increased number of global navigation satellite systems (GNSS) in space have been confirmed for the robustness and convergence time of standard precise point positioning (PPP) solutions, as well as improved accuracy when (most of) the ambiguities are fixed. Yet, it is still worthwhile to investigate fast and high-precision GNSS parameter estimation to meet user needs. This contribution focuses on integer ambiguity resolution-enabled Precise Point Positioning (PPP-RTK) in the use of the observations from four global navigation systems, i.e., GPS (Global Positioning System), Galileo (European Global Navigation Satellite System), BDS (Chinese BeiDou Navigation Satellite System), and GLONASS (Global’naya Navigatsionnaya Sputnikova Sistema). An undifferenced and uncombined PPP-RTK model is implemented for which the satellite clock and phase bias corrections are computed from the data processing of a group of stations in a network and then provided to users to help them achieve integer ambiguity resolution on a single receiver by calibrating the satellite phase biases. The dataset is recorded in a local area of the GNSS network of the Netherlands, in which 12 stations are regarded as the reference to generate the corresponding corrections and 21 as the users to assess the performance of the multi-GNSS PPP-RTK in both kinematic and static positioning mode. The results show that the root-mean-square (RMS) errors of the ambiguity float solutions can achieve the same accuracy level of the ambiguity fixed solutions after convergence. The combined GNSS cases, on the contrary, reduce the horizontal RMS of GPS alone with 2 cm level to GPS + Galileo/GPS + Galileo + BDS/GPS + Galileo + BDS + GLONASS with 1 cm level. The convergence time benefits from both multi-GNSS and fixing ambiguities, and the performances of the ambiguity fixed solution are comparable to those of the multi-GNSS ambiguity float solutions. For instance, the convergence time of GPS alone ambiguity fixed solutions to achieve 10 cm three-dimensional (3D) positioning accuracy is 39.5 min, while it is 37 min for GPS + Galileo ambiguity float solutions; moreover, with the same criterion, the convergence time of GE ambiguity fixed solutions is 19 min, which is better than GPS + Galileo + BDS + GLONASS ambiguity float solutions with 28.5 min. The experiments indicate that GPS alone occasionally suffers from a wrong fixing problem; however, this problem does not exist in the combined systems. Finally, integer ambiguity resolution is still necessary for multi-GNSS in the case of fast achieving very-high-accuracy positioning, e.g., sub-centimeter level.

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Section: Ppp-rtk Modelmentioning

confidence: 99%

Assessing the Performance of Multi-GNSS PPP-RTK in the Local Area

Zhao

Verhagen

et al. 2020

Remote Sensing

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“…The improvement in the position precision and time‐to‐first‐fix in the PPP‐RTK user side using ionospheric corrections computed from a network can be determined [14]. A method was proposed for improving RTK‐GPS using a low‐cost inertial measurement unit and conventional vehicle speed sensors to overcome the problem that GPS tends to suffer from multipath error, especially in urban environments [15]. An object‐based correction approach for accurate and precise digital elevation models (DEMs) is presented by integrating LiDAR point data, aerial imagery, and real‐time kinematic‐global positioning systems [16].…”

Section: Rtk Measurement Techniquementioning

confidence: 99%

Research on RTK tilt position measurement method based on UKF

Nie

Chen

Liu

2019

IET Radar, Sonar & Navigation

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“…Furthermore, precision and reliability of positioning and time and frequency transfer are also constrained by receiver DCB and DPB (Dach et al 2002;Odolinski et al 2015). With high-precision and high-reliability DCB and DPB, PPP and RTK, as well as PPP-RTK can reach even higher levels (Gao et al 2017b;Odolinski and Teunissen 2017a;Psychas et al 2019). Moreover, accurate calibration of DCB and DPB is an important prerequisite for time and frequency transfer based on GNSS (Defraigne and Baire 2011;Huang and Defraigne 2016).…”

Section: Introductionmentioning

confidence: 99%

Characteristics of receiver-related biases between BDS-3 and BDS-2 for five frequencies including inter-system biases, differential code biases, and differential phase biases

Sheng

El‐Mowafy

et al. 2021

GPS Solut

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It is foreseeable that the BeiDou navigation satellite system with global coverage (BDS-3) and the BeiDou navigation satellite (regional) system (BDS-2) will coexist in the next decade. Care should be taken to minimize the adverse impact of the receiver-related biases, including inter-system biases (ISBs), differential code biases (DCB), and differential phase biases (DPB) on the positioning, navigation, and timing (PNT) provided by global navigation satellite systems (GNSS). Therefore, it is important to ascertain the intrinsic characteristics of receiver-related biases, especially in the context of the combination of BDS-3 and BDS-2, which have some differences in their signal level. We present a method that enables time-wise retrieval of between-receiver ISBs, DCB, and DPB from multi-frequency multi-GNSS observations. With this method, the time-wise estimates of the receiver-related biases between BDS-3 and BDS-2 are determined using all five frequencies available in different receiver pairs. Three major findings are suggested based on our test results. First, code ISBs are significant on the two overlapping frequencies B1II and B2b/B2I between BDS-3 and BDS-2 for a baseline with non-identical receiver pairs, which disrupts the compatibility of the two constellations. Second, epoch-wise DCB estimates of the same type in BDS-3 and BDS-2 can show noticeable differences. Thus, it is unreasonable to treat them as one constellation in PNT applications. Third, the DPB of BDS-3 and BDS-2 may have significant short-term variations, which can be attributed to, on the one hand, receivers composing baselines, and on the other hand, frequencies.

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Assessment of ionospheric corrections for PPP-RTK using regional ionosphere modelling

Cited by 52 publications

References 35 publications

Assessing the Performance of Multi-GNSS PPP-RTK in the Local Area

Assessing the Performance of Multi-GNSS PPP-RTK in the Local Area

Research on RTK tilt position measurement method based on UKF

Characteristics of receiver-related biases between BDS-3 and BDS-2 for five frequencies including inter-system biases, differential code biases, and differential phase biases

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