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A multi-scale adaptive grid partition method based on two-dimensional Fourier transform for ZTD
Grid partitioning plays a crucial role in real-time zenith total delay (ZTD) modeling. However, commonly employed methods rely on empiricism to...
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Estimating sea surface swell height using a hybrid model combining CNN, ConvLSTM, and FCN based on spaceborne GNSS-R data from the CYGNSS mission
Compared to traditional swell height measurement methods, spaceborne global navigation satellite system reflectometry (GNSS-R) has many advantages,...
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An improved method for LEO orbit prediction using predicted accelerometer data
The Low Earth Orbit (LEO) enhanced Global Navigation Satellite System (LeGNSS) relies on LEO satellites to broadcast GNSS-like navigation signals,...
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Stochastic characteristics analysis on GNSS observations and real-time ROTI-based stochastic model compensation method in the ionospheric scintillation environment
Ionospheric scintillation interferes with the global navigation satellite system (GNSS) observation precision by random diffractive residuals,...
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GTS_CME: an open-source MATLAB-based software for the analysis of common mode errors in GNSS coordinate time series
Regional global navigation satellite system (GNSS) network analyses are often affected by spatially correlated errors, also known as common mode...
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GNSS NLOS detection method based on stacking ensemble learning and applications in smartphones
Global Satellite Navigation System (GNSS) has been widely used in various high-precision positioning services and has become an indispensable part of...
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Risk overbounding for ionospheric gradient monitor using geometry-free double differenced carrier phase measurements
Ionosphere anomaly can cause large spatial gradients in the double-differenced carrier phase (DDCP) measurements. Taking advantage of this...
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Random forest-based multipath parameter estimation
Multipath is recognized as one of the major error sources for GNSS urban navigation. This study proposes a random forest (RF)-based multipath...
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A grid model of direct conversion between zenith tropospheric delay and precipitable water vapor in tropical regions
Accurately measuring precipitable water vapor (PWV) is challenging, especially in the absence of the measured meteorological data. We propose a novel...
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A new quality monitoring method for real-time precise orbit and clock products
Real-time precise orbit and clock products are prerequisites for Real-Time Precise Point Positioning (RT-PPP) and its related applications, such as...
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Effects of equatorial plasma bubble-induced ionospheric gradients on GNSS PPP-RTK
Equatorial plasma bubble (EPB) exerts a severe threat to global navigation satellite system (GNSS) technique. It not only can lead to ionospheric...
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A GNSS-IR soil moisture retrieval method via multi-layer perceptron with consideration of precipitation and environmental factors
Soil moisture monitoring is a significant aspect of environmental and agricultural studies, and Global Navigation Satellite System Interferometric...
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Automated offset detection approaches: case study in IGS Repro2 and 3
Traditional automated offset detections on global navigation satellite system (GNSS) station coordinate time series still cannot fully replace manual...
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Can the phase of SNR oscillations in GNSS-IR be used to estimate sea-level height?
In existing global navigation satellite system-interference reflectometry (GNSS-IR) research, only the frequency of signal-to-noise ratio (SNR)...
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A PPP kinematic application on historical GPS data: the reprocessing of the ITASE98-99 Antarctica mission height profiles
The analysis of altimetric profiles in Antarctica and their evolution over the years is a sensitive topic for the scientific community since it helps...
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On the real-time tropospheric delay estimates using low-cost GNSS receivers and antennas
Dense Global Navigation Satellite System (GNSS) observations are beneficial for monitoring the small-scale troposphere turbulence in both...
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Quality monitoring of real-time PPP service using isolation forest-based residual anomaly detection
In order to meet the time-critical and high-precision positioning demands of massive market applications, real-time Precise Point Positioning (PPP)...
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Volcanic clouds detection applying machine learning techniques to GNSS radio occultations
Volcanic clouds detection is a challenge especially when meteorological clouds are present in the same area. Several algorithms have been developed...
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Single-station single-frequency GNSS cycle slip estimation with receiver clock error increment and position increment constraints
Cycle slip detection is essential for achieving centimeter-level positioning using Global Navigation Satellite Systems (GNSS). However, when dealing...
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Leveraging machine learning techniques and GPS measurements for precise TEC rate predictions
This study explores machine learning models to gain insights into dynamics of ionospheric irregularities over geodetic receivers in Mbarara (0.60° S,...
