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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
TL;DR: The proposed data fusion framework does not require any linearization of the equations and is insensitive to the data incest problem since the same information can be exploited several times in the computation process without making the estimation over-converge.
Abstract: Cooperation between road vehicles through information exchange is a promising way to enhance their absolute and relative positions. This paper presents an approach for generating, sharing and applying Global Navigation Satellite System (GNSS) pseudorange corrections through a V2X communication network. Conventionally, differential corrections are generated by fixed base stations with known positions and sent to mobile users. Here, the proposed cooperative method has no central server and the estimation of the raw measurements errors is done in a fully distributed way. Using a model of the correlation of the pseudorange errors and through the knowledge of the local motions of the vehicles obtained by Dead Reckoning (DR) or tracking, a non linear observability shows that the estimation problem is solvable. A cooperative and fully distributed estimation method is then presented using Set Inversion and Constraint propagation techniques. Positions, pseudorange estimated errors and DR data are shared in the network of vehicles and confidence is handled by intervals, in a bounded error context. This allows computing highly reliable confidence domains with no direct range measurements, which is crucial for applications involving close proximity navigation. Indeed, the proposed data fusion framework does not require any linearization of the equations and is insensitive to the data incest problem since the same information can be exploited several times in the computation process without making the estimation over-converge. Results using real measurements are presented to illustrate the performance of the proposed cooperative method in comparison with standalone estimation. A classical sequential Bayesian method has also been implemented on the same data set and compared in terms of accuracy and confidence with a ground truth system.

34 citations

Journal ArticleDOI
14 Aug 2014-Sensors
TL;DR: A comprehensive method to determine the quality of GNSS observations for the purpose of ionospheric studies is developed and it is suggested that a set of data quality parameters when used in combination can effectively select stations with high-quality GNSS data and improve the performance of ionsospheric data analysis.
Abstract: Global Navigation Satellite Systems (GNSS) are now recognized as cost-effective tools for ionospheric studies by providing the global coverage through worldwide networks of GNSS stations. While GNSS networks continue to expand to improve the observability of the ionosphere, the amount of poor quality GNSS observation data is also increasing and the use of poor-quality GNSS data degrades the accuracy of ionospheric measurements. This paper develops a comprehensive method to determine the quality of GNSS observations for the purpose of ionospheric studies. The algorithms are designed especially to compute key GNSS data quality parameters which affect the quality of ionospheric product. The quality of data collected from the Continuously Operating Reference Stations (CORS) network in the conterminous United States (CONUS) is analyzed. The resulting quality varies widely, depending on each station and the data quality of individual stations persists for an extended time period. When compared to conventional methods, the quality parameters obtained from the proposed method have a stronger correlation with the quality of ionospheric data. The results suggest that a set of data quality parameters when used in combination can effectively select stations with high-quality GNSS data and improve the performance of ionospheric data analysis.

34 citations

Journal ArticleDOI
TL;DR: The results show that there are no significant improvements in the SISRE of the broadcast navigation data by applying SBAS corrections, but the accuracy of SBAS ionospheric corrections is still much better than GPS broadcast ionosphere corrections, which could still be beneficial for single-frequency users.
Abstract: To meet the demands of civil aviation and other precise navigation applications, several satellite-based augmentation systems (SBASs) have been developed around the world, such as the Wide Area Augmentation System (WAAS) for North America, the European Geostationary Navigation Overlay Service (EGNOS) for Europe, the Multi-functional Satellite Augmentation System (MSAS) for Japan, the GPS (Global Positioning System) Aided GEO Augmented Navigation (GAGAN) for India, and the System for Differential Corrections and Monitoring (SDCM) for Russia. The SBASs broadcast messages to correct satellite orbit, clock, and ionosphere errors to augment the GPS positioning performance. In this paper, SBAS orbit, clock and ionospheric corrections are evaluated. Specifically, the orbit, clock and ionospheric corrections derived from SBAS messages are comprehensively evaluated using data collected from the above mentioned systems over 181 consective days. The evaluation indicates that the EGNOS outperforms other systems with signal-in-space range error (SISRE) at 0.645 m and ionospheric correction accuracy at 0.491 m, respectively. Meanwhile, the accuracy of SDCM is comparable to EGNOS with SISRE of 0.650 m and ionospheric correction accuracy of 0.523 m. For WAAS, the SISRE is 0.954 m and the accuracy of ionospheric correction is 0.505 m. The accuracies of the SBAS corrections from the MSAS and GAGAN systems, however, are significantly worse than those of others. The SISREs are 1.931 and 1.325 m and the accuracies of ionospheric corrections are 0.795 and 0.858 m, for MSAS and GAGAN, respectively. At the same time, GPS broadcast orbit, clock and ionospheric corrections are also evaluated. The results show that there are no significant improvements in the SISRE of the broadcast navigation data by applying SBAS corrections. On the other hand, the accuracy of SBAS ionospheric corrections is still much better than GPS broadcast ionospheric corrections, which could still be beneficial for single-frequency users.

34 citations

Patent
04 Sep 2008
TL;DR: In this paper, a portable electronic device is used to measure the Earth's magnetic field and how the device is being moved to estimate the position of the device, which can be used to compute a current geographic location.
Abstract: An electronic device such as a portable electronic device is provided. The device may have wireless circuitry such as a global satellite navigation system receiver for receiving global satellite navigation system signals and for producing corresponding global satellite navigation system data. The global satellite navigation system data may include information on the current position of the portable electronic device. The portable electronic device may also have one or more sensors that are used to gather data in addition to the global satellite navigation system data. The sensors may include accelerometers and other devices capable of determining how the portable electronic device is oriented with respect to the Earth's magnetic field and how the device is being moved. When the device is moved, the movement and resulting change in orientation may be used in conjunction with the global satellite navigation system data to compute a current geographic location.

34 citations

Patent
Mahesh K. Jeerage1, Fan Liu1
20 Apr 2009
TL;DR: In this article, an exemplary embodiment integrates inertial navigation system information and global navigation satellite system (GNSS) information in a real-time Kalman filter (116); determines a real time location of the aircraft with the real time Kalman filtering (116) based upon the INS information and the GNSS information; delays the GPS information by an interval; and in response to an inaccuracy, selects the predictive location determined from the delay Kalman filters (118) as a new real- time location.
Abstract: System and methods of increasing reliability of determined location information by using two integration filters are provided. An exemplary embodiment integrates inertial navigation system information and global navigation satellite system (GNSS) information in a real time Kalman filter (116); determines a real time location of the aircraft with the real time Kalman filter (116) based upon the INS information and the GNSS information; delays the GNSS information by an interval; integrates the INS information and the delayed GNSS information in a delay Kalman filter (118); determines a predictive location of the aircraft with the delay Kalman filter (118) based upon the INS information, the delayed GNSS information, and the interval; and in response to an inaccuracy of the real time location determined from the real time Kalman filter (116), selects the predictive location determined from the delay Kalman filter (118) as a new real time location of the aircraft.

34 citations


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