The integration of Inertial Navigation System (INS) and Global Positioning (GPS) single-point-positioning (SPP) mode cannot meet the requirements high-accuracy navigation. Range observation through ultra-wideband (UWB) is an effective means to enhance reliability accuracy GPS/INS integrated navigation, particularly in environments where GPS availability poor. Because it difficult for UWB signal achieve large-scale intervention coverage, enhanced GPS/INS/UWB scheme with positioning error...

Abstract. Global navigation satellite systems (GNSS) have been proved to be an excellent technology for retrieving precipitable water vapor (PWV). In GNSS meteorology, PWV at a station is obtained from conversion of the zenith wet delay (ZWD) signals received using factor which function weighted mean temperature (Tm) along vertical direction in atmosphere over site. Thus, accuracy Tm directly affects quality GNSS-derived PWV. Currently, value target height level commonly modeled specific and...

One of the challenges in innovative application global navigation satellite systems (GNSS) lies real-time single-frequency precise point positioning (RT-SFPPP). The well-known problems associated with SFPPP are its slow convergence and lower accuracy due to effects various errors inherited by GNSS positioning, including atmospheric error. In order mitigate two above-mentioned problems, several scenarios for reduction delays RT-SFPPP, ionospheric constraint tropospheric constraint, were...

Using physics-informed neural networks to solve physical inverse problems is becoming a trend. However, it difficult the scheme that only introduces knowledge through loss function. Constructing reasonable function make results converge becomes challenge. To address challenge of network models for design electromagnetic devices, deep introduced by using mode matching method. The equations have been integrated into structure when constructed. This feature makes more concise and higher...

Recently, a robust cost function called C-Loss was proposed for signal processing and machine learning, which is essentially the mean square error (MSE) in reproducing kernel Hilbert space (RKHS). In this paper, we propose new function, kernelized risk-sensitive (KRS), is, essence, loss space. The well-known optimization control estimation communities. theory, defined as expectation of an exponential squared error. KRS insensitive to large outliers can be applied adaptive filtering. Compared...

Tropospheric delay is one of the main errors in precise point positioning (PPP). The inaccuracy tropospheric model will inevitably lead to a decrease PPP accuracy. Therefore, influence gradient on accuracy should be considered processing delay. At same time, effects different mapping function models and meteorological parameter calculation methods single-frequency (SF PPP) are analyzed. Twelve MGEX stations, which evenly distributed world, used this article. Taking into account seasonal...

Graph Neural Networks (GNNs) have gained popularity in numerous domains, yet they are vulnerable to backdoor attacks that can compromise their performance and ethical application. The detection of these is crucial for maintaining the reliability security GNN classification tasks, but effective techniques lacking. Following an initial investigation, we observed while graph-level explanations offer limited insights, effectiveness detecting triggers inconsistent incomplete. To bridge this gap,...

Abstract In GNSS (Global Navigation Satellite Systems) meteorology, the accuracy of precipitable water vapor (PWV) retrieved from tropospheric delay signals is affected by conversion factor. Compact VMF1 product (known as GGOS Atmosphere data) provides high‐accuracy global grid‐wise weighted mean temperature ( T m ) values, which can be utilized to calculate However, provided in compact data are solely ground surface values. To enhance performance product, a new lapse rate model for each...

An increasing number of researchers have conducted in-depth research on the advantages low-cost single-frequency (SF) receivers, which can effectively use ionospheric information when compared to dual-frequency ionospheric-free combination. However, SF observations are bound increase unknown parameters and prolong convergence time. It is desirable if time be reduced by external constraints, for example atmospheric include ionosphere- or troposphere constraints. In this study, delay...

Abstract. Global Navigation Satellite Systems (GNSS) have been proved to be an excellent technology for retrieving precipitable water vapor (PWV). In GNSS meteorology, PWV at a station is obtained from conversion of the zenith wet delay (ZWD) signals received using factor which function weighted mean temperature (Tm) along vertical direction in atmosphere over site. Thus, accuracy Tm directly affects quality GNSS-derived PWV. Currently, value target height level commonly modelled specific...

Community detection from complex information networks draws much attention both academia and industry since it has many real-world applications.However, scalability of community algorithms over very large been a major challenge.Real-world graph structures are often complicated accompanied with extremely sizes.In this paper, we propose MapReduce version called 3MA that parallelizes local identification method which uses the $M$ metric.Then adopt an iterative expansion approach to find all...

Recent events have led to a burgeoning awareness on the misuse of social media sites affect political events, sway public opinion, and confuse voters. Such serious, hostile mass manipulation has motivated large body works bots/troll detection fake news detection, which mostly focus classifying at user level based content generated by users. In this study, we jointly analyze connections among users, as well them Spot Coordinated Groups (SCG), sets users that are likely be organized towards...