A5085288896- GNSS positioning and interference
- Ionosphere and magnetosphere dynamics
- Geophysics and Gravity Measurements
- Advanced Frequency and Time Standards
- Wireless Communication Networks Research
- Advanced Wireless Communication Techniques
- Traffic Prediction and Management Techniques
- Earthquake Detection and Analysis
- Inertial Sensor and Navigation
- Magnetic confinement fusion research
Guangzhou Urban Planning Survey & Design Institute
2024
Chinese Academy of Sciences
2019-2023
Institute of Geodesy and Geophysics
2019-2022
University of Chinese Academy of Sciences
2019-2020
Institute of Geology and Geophysics
2020
Abstract Precise ionospheric information, as like precise satellite orbits, clocks, and code/phase biases, is a critical factor for achieving fast integer ambiguity resolution in point positioning (PPP-AR). This study develops an ionosphere-weighted (IW) undifferenced uncombined PPP real-time kinematic (PPP-RTK) network model using code phase observations. We introduce between-station single-differenced delay pseudo-observations to take advantage of the similar characteristics delays between...
Abstract Technique PPP–RTK combines the advantages of both Precise Point Positioning (PPP) and Real-Time Kinematic (RTK) positioning. With emergence multi-frequency Global Navigation Satellite System (GNSS) observations, it is preferable to formulate functional models based on original (undifferenced uncombined) observations. While there exist many variants undifferenced uncombined models, a unified theoretical framework needs developing link these variants. In this contribution, we class in...
Abstract Precise point positioning-real-time kinematic (PPP-RTK), otherwise known as integer ambiguity resolution-enabled precise pointing positioning, has attracted much attention in recent years and become state-of-the-art the global navigation satellite system (GNSS) high-precision positioning community. This work reviews several PPP-RTK methods, outlines a set of applications, presents possible future developments. According to parameterization considered, we clarify models into...
The Chinese BeiDou navigation satellite system (BDS) is gradually transitioning from a regional (BDS2) to global (BDS3) provide its positioning, and timing (PNT) services users worldwide. Real-time differencing (RTD) real-time kinematic (RTK) positioning play important roles in the applications of BDS, optimal performance these two techniques relies upon proper choice stochastic model. In this paper, least-squares variance component estimation (LS-VCE) method adopted establish realistic...
Offering real-time precise point positioning (PPP) services for global and large areas based on navigation satellite systems (GNSS) has drawn more attention from institutions companies. A reliable orbit is a core premise multi-GNSS services, especially the GPS GLONASS, which are undergoing modernization, whereas Galileo, BDS QZSS have just fulfilled construction stage. In this contribution, determination (POD) strategy five operational constellations hourly updated ultrarapid prediction...
Stochastic models play a crucial role in global navigation satellite systems (GNSS) data processing. Many studies contribute to the stochastic modeling of GNSS observation noise, whereas few focus on process noise. This paper proposes method that is able jointly estimate variances noise and The flexible since it based least-squares variance component estimation (LS-VCE), enabling users components they are specifically interested in. We apply proposed for dual-frequency receiver code bias...
The retrieval of ionosphere measurements (IMs) constitutes the first key step in process ionospheric monitoring with global positioning system (GPS). Carrier-to-code levelling (CCL) is one most widely used methods, mainly because its simplicity and effectiveness. However, CCL-derived IMs have been proven to be susceptible so-called errors, which due presence code multipath effects occurrence short-term variability receiver biases (RCBs). To address these we propose a refined CCL (rCCL)...