An Improved BDS Satellite-Induced Code Bias Correction Model Considering the Consistency of Multipath Combinations

Pan, Lin; Guo, Fei; Ma, Fujian

doi:10.3390/rs10081189

Cited by 13 publications

(11 citation statements)

References 22 publications

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“…Satellite-induced code bias, which is absent from other GNSS satellites, has been identified to exist in BDS-2 code observations and reported in many studies [17][18][19]. In our experiment, it was further confirmed using observations from the iGMAS station, as shown in Figure 6.…”

Section: Satellite-induced Code Biassupporting

confidence: 86%

Characterization of GNSS Signals Tracked by the iGMAS Network Considering Recent BDS-3 Satellites

et al. 2018

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The international GNSS monitoring and assessment system (iGMAS) tracking network has been established by China to track multi-GNSS satellites. A key feature of iGMAS stations is the capability to fully track new navigation signals from the recently deployed BDS-3 satellites. In addition to the B1I and B3I signals inherited from BDS-2 satellites, the BDS-3 satellites are capable of transmitting new open service signals, including B1C at 1575.42 MHz, B2a at 1176.45 MHz, and B2b at 1207.14 MHz. In this contribution, we present a comprehensive analysis and characterization of GNSS signals tracked by different receivers and antennas equipped in the iGMAS network, especially as they relate to BDS-3 signals. Signal characteristics are analyzed in terms of the carrier-to-noise density ratio for the different signals as measured by the receiver, as well as pseudo-range noise and multipath. Special attention is given to discussion of the satellite-induced code bias, which has been identified to exist in the code observations of BDS-2, and the inter-frequency clock bias (IFCB), which has been observed in the triple-frequency carrier phase combinations of GPS Block IIF and BDS-2 satellites. The results indicate that the satellite-induced code bias is negligible for all signals of BDS-3 satellites, while small IFCB variations with peak amplitudes of about 1 cm can be recognized in BDS-3 triple-carrier combinations.

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Section: Satellite-induced Code Biassupporting

confidence: 86%

Characterization of GNSS Signals Tracked by the iGMAS Network Considering Recent BDS-3 Satellites

et al. 2018

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“…As seen in the figure, the MPCs of the GPS L1 and L2 frequencies are within 3 m, while the MPCs of the BDS2 B1 and B3 are within 1 m in most cases. However, the elevation-dependent systematic bias can be noticed in the pseudorange observations of the BDS2 GEOs, IGSOs, and MEOs, which may be due to the satellite design [27,28]. The MPCs characteristic for the GEOs are close to that for the IGSOs.…”

Section: Pseudorange Multipath Combinationmentioning

confidence: 85%

Precise Orbit Determination and Maneuver Assessment for TH-2 Satellites Using Spaceborne GPS and BDS2 Observations

Zhang

et al. 2021

Remote Sensing

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The TH-2 satellite system, including the TH-2A and TH-2B, is the first distributed interferometric synthetic aperture radar (InSAR) satellite system in China. During the in-orbit operation, the TH-2A satellite should perform three maneuvers per day to keep the formation flying geometry. We estimate those maneuvers in the precise orbit determination (POD) by the GPS and BDS2 measurements on board, respectively. The residuals of the POD show that the effects caused by orbital maneuvers can be well eliminated for both the GPS and BDS2 data. The precision of the BDS2-based POD is better than 8.0 cm in the three-dimensional direction (3D) compared with the orbit derived from the GPS observations. Such a precision level of the satellite orbit satisfies the InSAR mission requirement of the TH-2. In addition, the relative error of velocity changes is employed to evaluate the maneuver estimations by the POD using the regional navigation system of BDS2. The results show that the relative error of velocity changes between the GPS- and BDS2-based POD is less than 7.0%, which indicates that the maneuver performance extracted from the regional BDS2 data is as good as that extracted from the global GPS data. In the GNSS fused processing, we found that the independent receiver clock offsets should be taken into account, since the time tag corrections for the GPS and BDS2 observations collected on the TH-2 spaceborne receivers were different. The precision of the GPS and BDS2 (GC) combined single point positioning (SPP) can be improved by 12–14% compared with the GPS-only solution when the position dilution of precision (PDOP) of GPS exceeds three. The overlap comparisons of the GC combined orbits show that the internal orbit precision of the TH-2 satellites is better than 0.7 cm. However, the improvement of the GC combined POD result is only 3–4% with respect to the GPS-only solution, which is limited to the precision of the precise orbit and clock products of BDS2 at the present stage.

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“…The multipath error is caused by non-line-of-sight (between the satellite and the receiver) signal propagation. The received signals are the superposition of the direct and the reflected signals, and the interference superposition of the two signals results in an additional time delay [14]. Multipath is individual for each station and may be amplified when forming the combination.…”

Section: Pseudoranges Multipathmentioning

confidence: 99%

Data Quality Analysis of Multi-GNSS Signals and Its Application in Improving Stochastic Model for Precise Orbit Determination

et al. 2022

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Currently, there are more Global Navigation Satellite System (GNSS) signals available for civilians. Many types of GNSS receivers have been updated and several new receivers have been developed for new signals. To know about the performance of these signals and receivers and their stochastic model for data processing, in this study, the data quality of all GNSS signals, especially the new signals are analyzed, and two modified stochastic models with observation noise statistics (STA) and post-fit residuals (RES) are formed. The results show that for all the new signals, the corresponding carrier phase noise is at the same level as other old signals. The pseudorange noise of B2a, L5, E5a, and E5b is within 4 cm and significantly smaller than other signals for receivers without a smooth algorithm, and the multipath error of these signals is about 0.1 m which is also better than other signals. For B1C, the pseudorange multipath error is about 0.4 m, which is close to L1 and E1. Stochastic models are validated for precise orbit determination (POD). Compared with the empirical stochastic model (EMP), both modified models are helpful to reduce the mean unit weight square error and obtain high accuracy orbits with reduced iteration. The 3D orbit accuracy improvement can reach 0.27 cm (7%) for the STA model, and 0.40 cm (10%) for the RES model when compared with the final products from the international GNSS service (IGS). For BDS-3 POD by using B1C and B2a observations, the improvements in the 3D orbit consistency of two adjacent three-day solutions are 0.21 cm (3%) for the STA model and 0.29 cm (4%) for the RES model. In addition, the STA model based on the observation noise of globally distributed stations is less affected by stations with problematic observations and with reduced computation burden.

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An Improved BDS Satellite-Induced Code Bias Correction Model Considering the Consistency of Multipath Combinations

Cited by 13 publications

References 22 publications

Characterization of GNSS Signals Tracked by the iGMAS Network Considering Recent BDS-3 Satellites

Characterization of GNSS Signals Tracked by the iGMAS Network Considering Recent BDS-3 Satellites

Precise Orbit Determination and Maneuver Assessment for TH-2 Satellites Using Spaceborne GPS and BDS2 Observations

Data Quality Analysis of Multi-GNSS Signals and Its Application in Improving Stochastic Model for Precise Orbit Determination

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