GNSS time series prediction plays a significant role in monitoring crustal plate motion, landslide detection, and the maintenance of global coordinate framework. Long short-term memory (LSTM) is deep learning model that has been widely applied field high-precision often combined with Variational Mode Decomposition (VMD) to form VMD-LSTM hybrid model. To further improve accuracy model, this paper proposes dual variational modal decomposition long (DVMD-LSTM) effectively handle noise...

The global navigation satellite system (GNSS) has seen tremendous advances in measurement precision and accuracy, it allows researchers to perform geodynamics geophysics studies through the analysis of GNSS time series. Moreover, series not only contain geophysical signals, but also unmodeled errors other nuisance parameters, which affect performance estimation site coordinates related parameters. As number globally distributed reference stations increases, software should be developed with...

GNSS time series prediction plays a significant role in monitoring crustal plate motion, landslide detection, and maintenance of the global coordinate framework. Long Short-Term Memory (LSTM), deep learning model has been widely applied field high-precision especially when combined with Variational Mode Decomposition (VMD) to form VMD-LSTM hybrid model. To further improve accuracy model, this paper proposes dual variational modal decomposition long short-term memory (DVMD-LSTM) effectively...

Extreme loadings, a hostile environment and dangerous operation lead to the unsafe state of bridges under construction, especially large-span bridges. Global Navigation Satellite Systems (GNSS) tend be best choice for real-time deformation monitoring due significant advantage automation, continuation, all-weather high precision. Unfortunately, traditional geodetic GNSS instrument with its price large volume is limited in applications. Hence, we design develop low-cost equipment by...

The extraction of landslide deformation using terrestrial laser scanning (TLS) has many important applications. can be extracted based on a digital terrain model (DTM). However, such methods usually suffer from the ill-posed problem multiplicative error as illustrated in previous studies. Moreover, edge drift commonly used spherical targets for point cloud registration (PCR) is ignored existing method, which will result unstable precision PCR. In response to these problems, we propose method...

Besides accuracy, integrity is another important performance measure of GNSS. The classical least-squares-residual (LSR) method and parity vector (PV) are often used in the receiver autonomous monitoring (RAIM). two fault detection methods assume that observation errors different satellites same, ignoring possible variations accuracy between observations. In this study, mathematical models weighted (WLSR) (WPV) derived detail. equivalence established with statistical tests. WPV applied to...

In December 2018, the BeiDou III (BDS-3) basic system was completed and began to provide global services. along with second-generation satellite navigation (BDS-2) Beidou first-generation (BDS-1), whole BDS has advantages in number of satellites, coverage, positioning performance. This paper focuses on comprehensive evaluation by comparing data quality performance those Global Positioning System (GPS). The comparison is based 7-day observation collected April 2020 at three different...

Abstract Receiver autonomous integrity monitoring (RAIM) fault and identification requires first to judge the geometric distribution of currently visible satellites based on performance indicators determine whether it is suitable for monitoring, that is, availability RAIM algorithm. With rapid development global navigation satellite system (GNSS), possibility dual-satellite faults multiple-satellite in GNSS positioning has greatly increased. The existing literature mainly focuses evaluation...

Point cloud registration (PCR) is a vital problem in remote sensing and computer vision, which has various important applications, such as 3D reconstruction, object recognition, simultaneous localization mapping (SLAM). Although scholars have investigated variety of methods for PCR, the applications been limited by low accuracy, high memory footprint, slow speed, especially dealing with large number point data. To solve these problems, novel local descriptor proposed efficient PCR. We formed...

The seven co-located sites of the Crustal Movement Observation Network China (CMONOC) in Shanghai, Wuhan, Kunming, Beijing, Xi'an, Changchun, and Urumqi are equipped with Global Navigation Satellite System (GNSS), very long baseline interferometry (VLBI), satellite laser ranging (SLR) equipment. Co-location surveying these was performed 2012 accuracies solved tie vectors approximately 5 mm. This paper proposes a mathematical model that handles least squares adjustment 3D control network...

Accurate noise model identification for GNSS time series is crucial obtaining a reliable velocity field and its uncertainty various studies in geodynamics geodesy. Here, by comprehensively considering span missing data effect on the of series, we used four combined models to analyze duration (ranging from 2 24 years) gap (between 2% 30%) effects selection estimation at 72 stations spanning 1992 2022 global region together with simulated data. Our results show that selected have better...

Noise model selection criteria has a significant impact on identifying the stochastic noise proper-ties of any GNSS daily coordinate time series. The low-frequency random walk existing in these series could lead to overestimation tectonic rate, so it is great significance accurately detect component. This study focuses estimation cri-terion (BIC_tp) derived from AIC and BIC by introducing 2π factors. It more sensitive abnormal steps (random jumps). Using observation data 72 stations...

Carrier Smoothing Code (CSC), as a low-pass filter, has been widely used in GNSS positioning processing to reduce pseudorange noise via carrier phases. However, current CSC methods do not consider the systematic bias between code and phase observation, also known Satellite-induced Bias (SICB). SICB identified BDS-2 will accuracy or reliability of CSC. To confront bias, an improved algorithm is proposed by considering for GEO, IGSO, MEO satellites BDS constellations. The correction model...

The satellite pseudo-range fault detection with the Receiver Autonomous Integrity Monitoring (RAIM) method is affected by several observations and geometric distribution of satellites. poor geometry satellites will conceal positioning error caused fault, resulting in unreliable results. Therefore, availability evaluation must be made before RAIM to ensure that performance not affected. On June 23, 2020, China successfully launched 30th (last) navigation BeiDou's third-generation system...

Global Navigation Satellite System (GNSS) signal quality, type of receiver equipment, and external environment can cause GNSS observations to be anomalous, these anomalies are sometimes reflected in pseudorange rather than phase observations. To better detect blunders observations, this paper proposes three blunder detection methods under the same frequency different code types (case1), frequencies (case2), which Code Observation Difference Method (CODM), Inter-satellite (ICODM), Inter-epoch...