Calibration errors in determining slant Total Electron Content (TEC) from multi-GNSS data

Li, Wei; Wang, Guangxing; Mi, Jinzhong; Zhang, Shaocheng

doi:10.1016/j.asr.2018.11.020

Cited by 14 publications

(10 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Finally, the cut-off elevation angle is set to 15 • to reduce the impact of multipath noise and mapping function errors [10]. To get an arc without cycle slips, the MW (Melbourne-Wübbena combination) and ionospheric residual observations are used to process the sequence of GF observations [28].…”

Section: Dcb Separation and Estimationmentioning

confidence: 99%

“…Carrier-to-code leveling (CCL) is a common estimation method to extract ionospheric TEC and DCB. It exhibits suitable accuracy and simple implementation with the dual-frequency geometry-free (GF) observation combination [9,10]. Moreover, the method of undifferenced and uncombined precise point positioning (PPP) shows higher estimation accuracy when compared with the CCL [11].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Variation Characteristics of Multi-Channel Differential Code Biases from New BDS-3 Signal Observations

Shi

Jin

2022

Remote Sensing

View full text Add to dashboard Cite

A multi-frequency Global Navigation Satellite System (GNSS) provides greater opportunities for positioning and navigation applications, particularly the BeiDou Global Navigation Satellite System (BDS-3) satellites. However, multi-frequency signals import more pseudorange channels, which introduce more multi-channel Differential Code Biases (DCBs). The satellite and receiver DCBs from the new BDS-3 signals are not clear. In this study, 9 DCB types of the new BDS-3 signals from 30-days Multi-GNSS Experiment (MGEX) observations are estimated and investigated. Compared with the DCB values provided by the Chinese Academy of Science (CAS) products, the mean bias and root mean squares (RMS) error of new BDS-3 satellite DCBs are within ±0.20 and 0.30 ns, respectively. The satellite DCBs are mostly within ±0.40 ns with respect to the product of the Deutsches Zentrum für Luft- und Raumfahrt (DLR). The four sets of constructed closure errors and their mean values are within ±0.30 ns and ±0.15 ns, respectively. The mean standard deviation (STD) of the estimated satellite DCBs is less than 0.10 ns. In particular, our estimated satellite DCBs are more stable than DCB products provided by CAS and DLR. Unlike satellite DCBs, the receiver DCBs have poor compliance and show an obvious relationship with the geographic latitude when compared to the CAS products. The STDs of our estimated receiver DCBs are less than 1.00 ns. According to different types of receiver DCBs, the distribution of STDs indicates that the coefficient of the ionospheric correction has an influence on the stability of the receiver DCBs under the ionosphere with the same accuracy level. In addition, the type of receiver shows no regular effects on the stability of receiver DCBs.

show abstract

Section: Dcb Separation and Estimationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Variation Characteristics of Multi-Channel Differential Code Biases from New BDS-3 Signal Observations

Shi

Jin

2022

Remote Sensing

View full text Add to dashboard Cite

show abstract

“…where P i (i = 1, 3) denotes the code observations on B1 or B3 frequency, Φ i is the corresponding phase observations, a 13,i is the dual-frequency IF combination coefficient, f i denotes the carrier frequency, d i and d r,i are the code hardware delays at the satellite and receiver, respectively, N i is the phase ambiguity, b i and b r,i denote the satellite-and receiver-specific phase hardware delays, respectively, P IF , Φ IF , N IF , d r,IF , d IF , b r,IF and b IF are the corresponding terms for the dual-frequency IF combination, ε P IF and ε Φ IF are the code and phase observation noises, respectively, T is the slant tropospheric delay, cdt r and cdt are the physical clock errors of the receiver and the satellite, respectively, and ρ denotes the geometric distances. For a period of time, all the hardware delay terms are considered to be stable [32]. The corrections of satellite clocks in the real-time scenario, which are contained in the real-time stream CLK93 provided by CNES, are computed with the use of B1/B3 dual-frequency IF combination.…”

Section: Real-time Bds-3/bds-2 Ppp Modelmentioning

confidence: 99%

Performance Evaluation of Real-Time Precise Point Positioning with Both BDS-3 and BDS-2 Observations

Pan

et al. 2020

Sensors

View full text Add to dashboard Cite

For time-critical precise applications, one popular technology is the real-time precise point positioning (PPP). In recent years, there has been a rapid development in the BeiDou Navigation Satellite System (BDS), and the constellation of global BDS (BDS-3) has been fully deployed. In addition to the regional BDS (BDS-2) constellation, the real-time stream CLK93 has started to support the BDS-3 constellation, indicating that the real-time PPP processing involving BDS-3 observations is feasible. In this study, the global positioning performance of real-time PPP with BDS-3/BDS-2 observations is initially evaluated using the datasets from 147 stations. In the east, north and upward directions, positioning accuracy of 1.8, 1.2 and 2.5 cm in the static mode, and of 6.7, 5.1 and 10.4 cm in the kinematic mode can be achieved for the BDS-3/BDS-2 real-time PPP, respectively, while the corresponding convergence time with a threshold of 10 cm is 32.9, 23.7 and 32.8 min, and 66.9, 42.9 and 69.1 min in the two modes in the three directions, respectively. To complete this, the availability of BDS-3/BDS-2 constellations, the quality of BDS-3/BDS-2 real-time precise satellite products, and the BDS-3/BDS-2 post-processed PPP solutions are also analyzed. For comparison, the results for the GPS are also presented.

show abstract

“…When processing pseudorange observations from the global navigation satellite system (GNSS), the code bias generated by the time difference between the signal emission or reception time and the related satellite or receiver clock reading must be carefully addressed [1]. Code biases are commonly handled as differential code biases (DCBs) inherited by both satellites and receivers in ionospheric estimations based on geometry-free (GF) linear combinations of dual-frequency GNSS observations [2][3][4]. In the estimation of GNSS clock products, code biases are commonly treated as ionosphere-free (IF) linear combinations of signal biases [5].…”

Section: Introductionmentioning

confidence: 99%

Estimation and Analysis of the Observable-Specific Code Biases Estimated Using Multi-GNSS Observations and Global Ionospheric Maps

Li¹,

Yuan²

2021

Remote Sensing

View full text Add to dashboard Cite

Observable-specific bias (OSB) parameterization allows observation biases belonging to various signal types to be flexibly addressed in the estimation of ionosphere and global navigation satellite system (GNSS) clock products. In this contribution, multi-GNSS OSBs are generated by two different methods. With regard to the first method, geometry-free (GF) linear combinations of the pseudorange and carrier-phase observations of a global multi-GNSS receiver network are formed for the extraction of OSB observables, and global ionospheric maps (GIMs) are employed to correct ionospheric path delays. Concerning the second method, satellite and receiver OSBs are converted directly from external differential code bias (DCB) products. Two assumptions are employed in the two methods to distinguish satellite- and receiver-specific OSB parameters. The first assumption is a zero-mean condition for each satellite OSB type and GNSS signal. The second assumption involves ionosphere-free (IF) linear combination signal constraints for satellites and receivers between two signals, which are compatible with the International GNSS Service (IGS) clock product. Agreement between the multi-GNSS satellite OSBs estimated by the two methods and those from the Chinese Academy of Sciences (CAS) is shown at levels of 0.15 ns and 0.1 ns, respectively. The results from observations spanning 6 months show that the multi-GNSS OSB estimates for signals in the same frequency bands may have very similar code bias characteristics, and the receiver OSB estimates present larger standard deviations (STDs) than the satellite OSB estimates. Additionally, the variations in the receiver OSB estimates are shown to be related to the types of receivers and antennas and the firmware version. The results also indicate that the root mean square (RMS) of the differences between the OSBs estimated based on the CAS- and German Aerospace Center (DLR)-provided DCB products are 0.32 ns for the global positioning system (GPS), 0.45 ns for the BeiDou navigation satellite system (BDS), 0.39 ns for GLONASS and 0.22 ns for Galileo.

show abstract

Calibration errors in determining slant Total Electron Content (TEC) from multi-GNSS data

Cited by 14 publications

References 30 publications

Variation Characteristics of Multi-Channel Differential Code Biases from New BDS-3 Signal Observations

Variation Characteristics of Multi-Channel Differential Code Biases from New BDS-3 Signal Observations

Performance Evaluation of Real-Time Precise Point Positioning with Both BDS-3 and BDS-2 Observations

Estimation and Analysis of the Observable-Specific Code Biases Estimated Using Multi-GNSS Observations and Global Ionospheric Maps

Contact Info

Product

Resources

About