Comprehensive analysis of compatibility between QZSS and GPS in Asia-Pacific region: Signal quality, RTK and PPP

Zhu, Shaolin; Yue, Dongjie; He, Lina; Liu, Zhiqiang; Chen, Jian

doi:10.1016/j.asr.2020.04.003

Cited by 9 publications

(5 citation statements)

References 32 publications

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“…The standard deviations (STDs) of double-difference phase residuals derived from zero-baseline observations of QZSS L1 C/A, L2C, and L5 signals were also comparable to those of the corresponding GPS signals, which were both reported to 0.5-1 mm by Quan et al [2]. Although the QZSS signals adopt the same central frequency as GPS signals, the inter-system bias (ISB) between the two satellite systems was still evident in their combined data processing [3], [4]. Therefore, the performance of GPS/QZSS integrated positioning and navigation will degrade if the influence of ISB is ignored.…”

Section: Introductionmentioning

confidence: 57%

Assessment and Analysis of the Four-Satellite QZSS Precise Point Positioning and the Integrated Data Processing With GPS

Pan

2021

IEEE Access

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The Quasi-Zenith Satellite System (QZSS), which serves Japan and its surrounding areas, is a regional navigation satellite system developed by Japan Aerospace Exploration Agency. The system is now in a four-satellite constellation with preliminary standalone navigation and positioning capabilities. In this paper, the performance of QZSS-only precise point positioning (PPP) in both static and kinematic modes is initially evaluated using the datasets spanning 11 days from 11 tracking stations in Asia-Pacific regions and the final precise orbit and clock products from the analysis centers GFZ and WUM. For completeness, the GPS/QZSS integrated data processing with GFZ and WUM final products as well as the L6E real-time orbit and clock corrections is also analyzed. The results indicate that the static positioning accuracy of QZSS-only PPP is approximately 4, 2 and 15 cm in the east, north and up directions, respectively, and the static convergence time of QZSS-only PPP with WUM and GFZ products can be 75.2, 44.3 and 45.6 min, and 153.5, 201.6 and 162.8 min in the three directions, respectively. As for the QZSS-only kinematic PPP solutions, the re-convergence repeatedly occurs due to limited available satellites. To achieve more reliable solutions, the inter-system bias parameter in GPS/QZSS PPP processing is recommended to be estimated as random walk process or white noise process. The improvement of post-processed GPS/QZSS PPP over GPS-only case is marginal on position accuracies, but can be several minutes on convergence time. Compared with post-processed GPS/QZSS PPP, the real-time one achieves worse position accuracies but comparable convergence time.

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Section: Introductionmentioning

confidence: 57%

Assessment and Analysis of the Four-Satellite QZSS Precise Point Positioning and the Integrated Data Processing With GPS

Pan

2021

IEEE Access

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“…QZSS was originally designed to complement the visibility and performance of GPS in urban canyons. To effectively improve satellite availability for the combined GPS+QZSS system [24], the QZSS clock is synchronized to GPS time, which enables QZSS clock bias estimates to be used for GPS multipath estimation without any adjustment. However, to estimate the multipath errors of other GNSS satellites than GPS or QZSS, it is necessary to compensate for the clock difference between GNSS and GPS/QZSS systems.…”

Section: B Multipath Extraction Methodologymentioning

confidence: 99%

Nonlinear Regression-Based GNSS Multipath Dynamic Map Construction and Its Application in Deep Urban Areas

Lee

Wang

Park

2023

IEEE Trans. Intell. Transport. Syst.

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“…Zhang et al, 2018). The QZSS satellites have three quasi-zenith orbits/QZO (QZS-1, QZS-2, QZS-4), but there is one satellite that has geostationary earth orbits/GEO (QZS-3) (Zhu et al, 2020). By 2023, QZSS is expected to be expanded to a seven-satellite system, which will enable it to provide better positioning, navigation, and timing (PNT) services (Li et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Direct Georeferencing in Unmanned Aerial Vehicle Using Quasi-Zenith Satellite System

SYETIAWAN¹,

SUSILO²,

SUSILO³

et al. 2023

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To produce accurate topographic data, Unmanned Aerial Vehicle (UAV) still rely on Ground Control Points (GCPs) for georeferencing. However, using GCPs has several limitations, among others, related to the cost and time required for field measurements. In addition, not all areas are accessible for GCPs measurements due to poorly accessible terrain or security reasons. Direct georeferencing, a method to determine precise camera position and orientation in UAVs using Global Navigation Satellite System (GNSS) geodetic antenna. Post Processing Kinematic (PPK) or real-time coordinates can be applied to determine the camera position. One satellite that sends corrections to the rover on Earth is the Quasi-Zenith Satellite System (QZSS). This study aims to analyze the orthophoto accuracy of the results of direct georeferencing using precise coordinates from the QZSS satellites. The flight parameter was used at 60% sidelap and 80% overlap on an average flying altitude of 300 m above ground level resulting in 135 photos with a Ground Sampling Distance (GSD) value of 6 cm. The accuracy of direct georeferencing using QZSS horizontally and vertically was 1.134 m and 1.617 m, respectively. Meanwhile, the same metric results using conventional GCPs were 0.417 m horizontally and 0.419 m vertically. With these results, the horizontal accuracy of Direct Georeferencing using corrections from QZSS can be used for large-scale mapping of the 1: 5,000 class 1 scale, while vertical accuracy can be used for large-scale mapping of the 1: 5,000 class 3 scale. Direct georeferencing using QZSS corrections has the potential to support the acceleration of large-scale mapping activities in Indonesia.

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Comprehensive analysis of compatibility between QZSS and GPS in Asia-Pacific region: Signal quality, RTK and PPP

Cited by 9 publications

References 32 publications

Assessment and Analysis of the Four-Satellite QZSS Precise Point Positioning and the Integrated Data Processing With GPS

Assessment and Analysis of the Four-Satellite QZSS Precise Point Positioning and the Integrated Data Processing With GPS

Nonlinear Regression-Based GNSS Multipath Dynamic Map Construction and Its Application in Deep Urban Areas

Direct Georeferencing in Unmanned Aerial Vehicle Using Quasi-Zenith Satellite System

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