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GNSS augmentation

About: GNSS augmentation is a research topic. Over the lifetime, 2478 publications have been published within this topic receiving 28513 citations. The topic is also known as: SBAS & Satellite Based Augmentation System.


Papers
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Journal ArticleDOI
29 Mar 2016
TL;DR: The core operation principles of satellite navigation are outlined to describe those kind of interference and to analyze the impacts to describe the large impact of a potential disruption of the GNSS service.
Abstract: Global navigation satellite systems (GNSS) like GPS but also Galileo, GLONASS, and Beidou represent an important infrastructure to our society. They provide position and timing for numerous applications. A GNSS is a rather complex system consisting of around 30 satellites, a number of monitor stations, plus a control center. Billions of GNSS receivers represent the user segment. The receivers and the monitor stations receive a weak satellite radio signal and thus are susceptible to interference like jamming or spoofing. This paper outlines the core operation principles of satellite navigation to describe those kind of interference and to analyze the impacts. Different types of interference attacks result in different effects at the target receiver. The attack schemes are categorized within this paper. Reported incidents are summarized as well as the potential impact of GNSS vulnerability on critical infrastructure. Well known countermeasures at user receiver level or at system level are outlined and discussed for their suitability. The political and socioeconomic context of GNSS vulnerability is described emphasizing the large impact of a potential disruption of the GNSS service.

175 citations

Book
30 Jul 2009
TL;DR: The GNSS Signal Acquisition and Tracking (GSAT) as mentioned in this paper is a GNSS signal acquisition and tracking system that combines GNSS with RF systems to estimate position, velocity and time estimation.
Abstract: Satellite Navigation Overview - Introduction. GNSS Signal Acquisition and Tracking. Position, Velocity and Time Estimation. Differential GNSS: Accuracy and Integrity. A GPS Software Receiver. GNSS Combined with Other Navigation Systems. Combining GNSS with RF Systems. GNSS Applications - Aviation Applications. Space Applications. Geodesy and Surveying. Scientific Remote Sensing Using Bistatic GNSS Reflections.

170 citations

Journal ArticleDOI
01 Dec 2008
TL;DR: Typical user equipment configurations and civil aviation applications of GNSS including navigation, automatic dependent surveillance, terrain awareness warning systems, and timing are detailed.
Abstract: The Global Navigation Satellite System (GNSS) is the worldwide set of satellite navigation constellations, civil aviation augmentations, and user equipment. This paper reviews the current status and future plans of the elements of GNSS as it pertains to civil aviation. The paper addresses the following satellite navigation systems: the U.S. Global Positioning System (GPS), Russian GLONASS, European Galileo, Chinese Compass, Japanese Quasi Zenith Satellite System, and Indian Regional Navigation Satellite System. The paper also describes aviation augmentations including aircraft-based, satellite-based, ground-based, and ground-based regional augmentation systems defined by the International Civil Aviation Organization. Lastly, this paper details typical user equipment configurations and civil aviation applications of GNSS including navigation, automatic dependent surveillance, terrain awareness warning systems, and timing.

164 citations

Journal ArticleDOI
TL;DR: In this paper, the authors used 3D building models to predict satellite visibility in urban canyons and evaluated the performance of current and future GNSS in London with decimetre-level accuracy.
Abstract: Positioning using the Global Positioning System (GPS) is unreliable in dense urban areas with tall buildings and/or narrow streets, known as ‘urban canyons’. This is because the buildings block, reflect or diffract the signals from many of the satellites. This paper investigates the use of 3-Dimensional (3-D) building models to predict satellite visibility. To predict Global Navigation Satellite System (GNSS) performance using 3-D building models, a simulation has been developed. A few optimized methods to improve the efficiency of the simulation for real-time purposes were implemented. Diffraction effects of satellite signals were considered to improve accuracy. The simulation is validated using real-world GPS and GLObal NAvigation Satellite System (GLONASS) observations. The performance of current and future GNSS in urban canyons is then assessed by simulation using an architectural city model of London with decimetre-level accuracy. GNSS availability, integrity and precision is evaluated over pedestrian and vehicle routes within city canyons using different combinations of GNSS constellations. The results show that using GPS and GLONASS together cannot guarantee 24-hour reliable positioning in urban canyons. However, with the addition of Galileo and Compass, currently under construction, reliable GNSS performance can be obtained at most, but not all, of the locations in the test scenarios. The modelling also demonstrates that GNSS availability is poorer for pedestrians than for vehicles and verifies that cross-street positioning errors are typically larger than along-street due to the geometrical constraints imposed by the buildings. For many applications, this modelling technique could also be used to predict the best route through a city at a given time, or the best time to perform GNSS positioning at a given location.

150 citations

Journal ArticleDOI
29 Jan 2017-Sensors
TL;DR: This paper investigates the performance improvements enabled by the tight integration, using low-cost sensors and a mass-market GNSS receiver and describes the developed tight-integration algorithms with a terse mathematical model and assesses their efficacy from a practical perspective.
Abstract: Global Navigation Satellite Systems (GNSSs) remain the principal mean of positioning in many applications and systems, but in several types of environment, the performance of standalone receivers is degraded. Although many works show the benefits of the integration between GNSS and Inertial Navigation Systems (INSs), tightly-coupled architectures are mainly implemented in professional devices and are based on high-grade Inertial Measurement Units (IMUs). This paper investigates the performance improvements enabled by the tight integration, using low-cost sensors and a mass-market GNSS receiver. Performance is assessed through a series of tests carried out in real urban scenarios and is compared against commercial modules, operating in standalone mode or featuring loosely-coupled integrations. The paper describes the developed tight-integration algorithms with a terse mathematical model and assesses their efficacy from a practical perspective.

146 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
2023122
2022266
202144
202062
201956
201851