BeiDou intra-system bias using different precise orbit and clock products

Suya, Robert Galatiya; Chen, Yung-Tsang; Kwong, Chiew Foong; Zhang, Penghe

doi:10.1016/j.measurement.2022.110804

Cited by 6 publications

(3 citation statements)

References 39 publications

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“…An intersystem bias (ISB) [14] is another relevant bias that requires proper treatment in multi-GNSS clock estimation. For BDS-2 and BDS-3 data processing, the implication of the ISB on convergence time, positioning solution and residuals has been recently demonstrated by Suya et al [15] and Jiao et al [16].…”

Section: Introductionmentioning

confidence: 92%

Enhancing BDS-3 PPP-AR with observable-specific signal biases

Galatiya Suya,

Chen,

Kwong

et al. 2023

Meas. Sci. Technol.

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In global navigation satellite system (GNSS) data processing, precise point positioning (PPP) with ambiguity resolution (PPP-AR) is a versatile technique that aims to achieve centimetre-level accuracy by resolving integer ambiguities in carrier phase observations. However, the inherent errors and biases in the satellite signals can degrade the performance of PPP-AR solutions. To mitigate such errors, this research proposed to argument PPP-AR using third-generation BeiDou Navigation Satellite System (BDS-3) multi-frequency observations and the observable-specific signal biases (OSBs) generated at the Centre National D’Etudes Spatiales (CNES). To test the proposed technique, both BDS-3 and Galileo observations from the multi-GNSS experiment network were used, in consideration that the latter also transmits multi-frequency signals. Before demonstrating the impact of CNES bias products on PPP-AR, the quality of BDS-3 and Galileo signals was assessed. The results indicated that the modernised frequencies had the best signal strength. The mean standard deviations for the estimated OSB for different receivers were close to each other in both constellations. Besides, the positioning results in different processing schemes unveiled a comparable positioning accuracy, and slightly better in the quad-PPP strategy using the Galileo constellation in both static and kinematic modes. Galileo also attained better ambiguity fixing rates and convergence time than BDS-3. Finally, there were slight differences in the magnitude of the estimated phase residuals for distinct frequency signals between BDS-3 and Galileo, including the interoperable and compatible signals.

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Section: Introductionmentioning

confidence: 92%

Enhancing BDS-3 PPP-AR with observable-specific signal biases

Galatiya Suya,

Chen,

Kwong

et al. 2023

Meas. Sci. Technol.

Self Cite

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“…BDS has three different orbit types: the geostationary orbit (GEO), the inclined geostationary orbit (IGSO) and the medium Earth orbit (MEO) [ 8 ]. Using the temporal and spatial repeatability of the multipath effect to mitigate the multipath effect in the carrier phase observations of BDS, it is necessary to take into account the small operating range of the BDS GEO satellite and the 7-day revisit period of the BDS MEO satellite, which is also the focus of this paper.…”

Section: Introductionmentioning

confidence: 99%

BDS Dual-Frequency Carrier Phase Multipath Hemispherical Map Model and Its Application in Real-Time Deformation Monitoring

Sun

Zhang

Gào

et al. 2023

Sensors

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The BDS multipath delay error is highly related to the surrounding monitoring environment, which cannot be eliminated or mitigated by applying the double difference observation model. In the actual monitoring environment, due to the complexity of the BDS constellation, it is difficult for existing algorithms to consider GEO, IGSO, MEO and other different orbital types of satellites for real-time and efficient multipath error reduction. Therefore, we propose a novel BDS dual-frequency multipath error reduction method for real deformation monitoring for BDS considering various satellite orbit types. This method extracts the single error residual of each satellite based on the assumption of “zero mean” and divides the appropriate grid density of GEO and IGSO/MEO, respectively, to construct a dual-frequency multipath hemispherical map model suitable for BDS satellites with different orbital types. This method can realize the multipath error elimination of the observed values of different orbits and different frequencies. The results of simulation experiments and real deformation monitoring data demonstrate that this method can effectively eliminate low-frequency multipath delay errors in the observation domain and coordinate domain. After multipath correction, the precision of the horizontal coordinates and height coordinates are 1.7 mm and 4.6 mm. The precision of the horizontal coordinate and height coordinate is increased by 50% and 60%, respectively. The fixed rate of ambiguity increased by 5–7%.

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“…Whereas the multipath error cannot be eliminated by DD mode and becomes the main error source in short baseline relative positioning. BDS has three different orbit types: the geostationary orbit (GEO), the inclined geostationary orbit (IGSO), and the medium Earth orbit (MEO) (Suya et al 2022). Therefore, the mitigation of multipath error is more complicated than single orbit type GNSS systems such as GPS and Galileo (Liu et al 2021a).…”

Section: Introductionmentioning

confidence: 99%

BDS dual-frequency carrier phase multipath MHM model and its application in real deformation monitoring scenario

Zhang

Sun

Gào

et al. 2023

Preprint

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The BDS multipath delay error is highly related to the surrounding monitoring environment, which cannot be eliminated or mitigated by establishing the double difference observation model. In the actual monitoring environment, due to the complexity of the BDS constellation, it is difficult for existing algorithms to consider GEO, IGSO, MEO and other different orbital types of satellites for real-time and efficient multipath error reduction. Therefore, this paper proposes a novel BDS dual-frequency multipath error reduction method for real deformation monitoring for BDS considering various satellite orbit types. This method extracts the single error residual of each satellite based on the assumption of "zero mean", and divides the appropriate grid density of GEO and IGSO\MEO respectively, to construct the dual-frequency multi-path hemispherical map model suitable for BDS satellites with different orbital types. This method can realize the multi-path error elimination of the observed values of different orbits and different frequencies. The results of simulation experiments and real deformation monitoring data demonstrate that this method can effectively eliminate low-frequency multipath delay errors in the observation domain and coordinate domain. After multipath correction, the precision of the horizontal coordinates and height coordinates is 1.7mm and 4.6mm. The precision of the horizontal coordinate and height coordinate is increased by 50% and 60% respectively. The fixed rate of ambiguity increased by 5%~7%.

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BeiDou intra-system bias using different precise orbit and clock products

Cited by 6 publications

References 39 publications

Enhancing BDS-3 PPP-AR with observable-specific signal biases

Enhancing BDS-3 PPP-AR with observable-specific signal biases

BDS Dual-Frequency Carrier Phase Multipath Hemispherical Map Model and Its Application in Real-Time Deformation Monitoring

BDS dual-frequency carrier phase multipath MHM model and its application in real deformation monitoring scenario

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