Results 11 to 20 of about 230,214 (378)

Use of Cyclone Global Navigation Satellite System (CyGNSS) Observations for Estimation of Soil Moisture

open access: yesGeophysical Research Letters, 2018
Using the first full annual cycle of Cyclone Global Navigation Satellite System (CyGNSS) observations, we investigated the limitations and capabilities of CyGNSS observations for soil moisture (SM) estimates (0–5 cm).
Hyunglok Kim, V. Lakshmi
semanticscholar   +3 more sources

LEO Enhanced Global Navigation Satellite System (LeGNSS): progress, opportunities, and challenges

open access: yesGeo-Spatial Information Science, 2021
With the completion of Chinese BeiDou Navigation Satellite System (BDS), the world has begun to enjoy the Positioning, Navigation, and Timing (PNT) services of four Global Navigation Satellite Systems (GNSS).
Haibo Ge   +8 more
semanticscholar   +1 more source

Performance evaluation of mobile U-navigation based on GPS/WLAN hybridization [PDF]

open access: yes, 2012
This paper present our mobile u-navigation system. This approach utilizes hybridization of wireless local area network and Global Positioning System internal sensor which to receive signal strength from access point and the same time retrieve Global ...
Mohamad, Mohd. Murtadha   +3 more
core   +3 more sources

A Novel Perspective of the Kalman Filter from the Rényi Entropy

open access: yesEntropy, 2020
Rényi entropy as a generalization of the Shannon entropy allows for different averaging of probabilities of a control parameter α. This paper gives a new perspective of the Kalman filter from the Rényi entropy.
Yarong Luo   +3 more
doaj   +1 more source

A Reinforcement Learning Approach for Global Navigation Satellite System Spoofing Attack Detection in Autonomous Vehicles [PDF]

open access: yesTransportation Research Record, 2021
A resilient positioning, navigation, and timing (PNT) system is a necessity for the robust navigation of autonomous vehicles (AVs). A global navigation satellite system (GNSS) provides satellite-based PNT services.
Sagar Dasgupta, T. Ghosh, Mizanur Rahman
semanticscholar   +1 more source

Methods of mutual high-precision navigation based the use of relative modes of anglemeasuring receivers of global navigation satellite systems signals [PDF]

open access: yesКосмические аппараты и технологии, 2022
The article presents the results of experimental studies of mutual high-precision navigation methods for unmanned and specialized transport systems. The proposed methods are based on the application of the relative operating modes of two or more angle ...
D. D. Dmitriev   +4 more
doaj   +1 more source

Stacking Ensemble Learning for Non-Line-of-Sight Detection of Global Navigation Satellite System

open access: yesIEEE Transactions on Instrumentation and Measurement, 2022
While the global navigation satellite system (GNSS) has been widely used to provide high-precision location services in many applications, it usually suffers from performance degradation due to non-line-of-sight (NLOS) reception.
Yuan Sun, Li Fu
semanticscholar   +1 more source

Overview of multipath mitigation technology in global navigation satellite system

open access: yesFrontiers of Physics, 2022
The global navigation satellite system is a high-precision radio navigation system based on artificial satellites. Among the factors affecting the positioning accuracy of the navigation satellite system, the multipath signal is the most significant and ...
Zhihao Xue   +4 more
semanticscholar   +1 more source

Global Navigation Satellite System Spoofing Detection in Inertial Satellite Navigation Systems

open access: yesInventions, 2023
The susceptibility of global navigation satellite systems (GNSSs) to interference significantly limits the possibility of their use. From the standpoint of possible consequences, the most dangerous interference is the so-called spoofing.
Maksim Zharkov   +3 more
doaj   +1 more source

Tsunami Early Warning From Global Navigation Satellite System Data Using Convolutional Neural Networks

open access: yesGeophysical Research Letters, 2022
We investigate the potential of using Global Navigation Satellite System (GNSS) observations to directly forecast full tsunami waveforms in real time. We train convolutional neural networks to use less than 9 min of GNSS data to forecast the full tsunami
Donsub Rim   +4 more
semanticscholar   +1 more source

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