An analysis of intersystem biases for multi-GNSS positioning

Torre, Andrea Dalla; Caporali, A.

doi:10.1007/s10291-014-0388-2

Cited by 76 publications

(44 citation statements)

References 4 publications

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“…In order to benefit from multi-GNSS and multi-frequency observations, all the system-dependent calibration parameters must be delivered to the user [2]. Therefore, a great effort is being made by scientific community and industry to improve GNSS processing algorithms, techniques, and related models.…”

Section: Introductionmentioning

confidence: 99%

Weighting of Multi-GNSS Observations in Real-Time Precise Point Positioning

2018

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Abstract:The combination of Global Navigation Satellite Systems (GNSS) may improve the accuracy and precision of estimated coordinates, as well as the convergence time of Precise Point Positioning (PPP) solutions. The key conditions are the correct functional model and the proper weighting of observations, for which different characteristics of multi-GNSS signals should be taken into account. In post-processing applications, the optimum stochastic model can be obtained through the analysis of post-fit residuals, but for real-time applications the stochastic model has to be defined in advanced. We propose five different weighting schemes for the GPS + GLONASS + Galileo + BeiDou combination, including two schemes with no intra-system differences, and three schemes that are based on signal noise and/or quality of satellite orbits. We perform GPS-only and five multi-GNSS solutions representing each weighting scheme. We analyze formal errors of coordinates, coordinate repeatability, and solution convergence time. We found that improper or equal weighting may improve formal errors but decreases coordinate repeatability when compared to the GPS-only solution. Intra-system weighting based on satellite orbit quality allows for a reduction of formal errors by 40%, for shortening convergence time by 40% and 47% for horizontal and vertical components, respectively, as well as for improving coordinate repeatability by 6%.

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Section: Introductionmentioning

confidence: 99%

Weighting of Multi-GNSS Observations in Real-Time Precise Point Positioning

2018

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“…Separating individual receiver clocks introduces additional satellite system biases between GPS, BeiDou, and Galileo. The additional biases are commonly known as inter-s ystem biases (ISBs) [44][45][46].…”

Section: Mathematical Modelmentioning

confidence: 99%

Combining GPS, BeiDou, and Galileo Satellite Systems for Time and Frequency Transfer Based on Carrier Phase Observations

Zhang

et al. 2018

Remote Sensing

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Abstract:The carrier-phase (CP) technique based on the Global Navigation Satellite System (GNSS) has proved to be a useful spatial tool for remote and precise time transfer. In order to improve the robustness and stability of the time transfer solution for a time link, a new CP approach based on a combination of GPS, BeiDou (BDS), and Galileo satellite systems is proposed in this study. The mathematical model for the obtained unique time transfer solution is discussed. Three GNSS stations that can track GPS, BeiDou, and Galileo satellites were used, and two time links are established to assess the performance of the approach. Multi-GNSS time transfer outperforms single GNSS by increasing the number of available satellites and improving the time dilution of precision. For the long time link, with a geodetic distance of 7537.5 km, the RMS value of the combined multi-system solution improves by 18.8%, 59.4%, and 35.0% compared to GPS-only, BDS-only, and Galileo-only, respectively. The average frequency stability improves by 12.9%, 62.3%, and 36.0%, respectively. For the short time link, with a geodetic distance of 4.7 m, the improvement after combining the three GNSSs is 6.7% for GPS-only, 52.6% for BDS-only, and 38.2% for Galileo-only.

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“…Therefore, in this paper, the spatiotemporal atum is based on World Geodetic System 1984 (WGS84) and GPS Time (GPST) system. The difference caused by different coordinate systems can be ignored, and the relationship between GPST and BDS Time (BDST) is defined as GPST = BDST + (1356 week, 14 s) [18]. The inter-system biases (ISBs) occur in the combination of BDS/QZSS and would change with the reboots of the receivers [19].…”

Section: Measurement Functionmentioning

confidence: 99%

Performance Evaluation of QZSS Augmenting GPS and BDS Single-Frequency Single-Epoch Positioning with Actual Data in Asia-Pacific Region

Zhang

Yang

Zhang

et al. 2018

IJGI

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Abstract:The Quasi-Zenith Satellite System (QZSS) service area covers the Asia-Pacific region and there are four quasi-zenith satellites (QZS) in orbit with three QZS in operation until March 2018. The QZSS is not required to work in a stand-alone mode, but the system can be used to enhance the Global Positioning System (GPS) or Beidou Satellite Navigation System (BDS). The availability, position dilution of precision (PDOP), ambiguity dilution of precision (ADOP), and success rate of GPS/QZSS and BDS/QZSS under different cut-off elevation angles were compared based on a simulation. Two sets of actual QZSS data were processed and analyzed for single-frequency single-epoch (SFSE) positioning together with GPS/BDS data in this paper. Different combination forms were executed to evaluate the positioning performance of GPS/QZSS and BDS/QZSS for two baseline cases. The results indicate that QZSS is able to increase the SFSE PDOP, ADOP, and success rate of the baseline resolution and decrease the position error for GPS or BDS, especially for longer GPS baseline data. The more QZS are used, the better the enhancement effect.

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An analysis of intersystem biases for multi-GNSS positioning

Cited by 76 publications

References 4 publications

Weighting of Multi-GNSS Observations in Real-Time Precise Point Positioning

Weighting of Multi-GNSS Observations in Real-Time Precise Point Positioning

Combining GPS, BeiDou, and Galileo Satellite Systems for Time and Frequency Transfer Based on Carrier Phase Observations

Performance Evaluation of QZSS Augmenting GPS and BDS Single-Frequency Single-Epoch Positioning with Actual Data in Asia-Pacific Region

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