Localizability Analysis for GPS/Galileo Receiver Autonomous Integrity Monitoring
Journal of Navigation, 2004With the European Commission (EC) and European Space Agency's (ESA) plans to develop a new satellite navigation system, Galileo and the modernisation of GPS well underway the integrity of such systems is as much, if not more, of a concern as ever. Receiver Autonomous Integrity Monitoring (RAIM) refers to the integrity monitoring of the GPS/Galileo ...
Steve Hewitson +2 more
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Flight Testing of Advanced Receiver Autonomous Integrity Monitoring and Dual Polarized Antenna
2020 IEEE/ION Position, Location and Navigation Symposium (PLANS), 2020The United States Air Force Test Pilot School Test Management Project, “Have DRAGON”, conducted flight tests on two technologies aimed at improving the robustness of airborne GNSS navigation. The program was conducted in close partnership with the Stanford University GPS Lab which developed Advanced Receiver Autonomous Integrity Monitoring (ARAIM) and ...
Chris Fulton +6 more
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A Proposed Concept of Operations for Advanced Receiver Autonomous Integrity Monitoring
ION GNSS+, The International Technical Meeting of the Satellite Division of The Institute of Navigation, 2018Advanced Receiver Autonomous Integrity Monitoring (ARAIM) is a concept that extends today’s RAIM by incorporating dual frequency and multiple constellations. ARAIM will dramatically improve the availability of horizontal guidance, and has the possibility to evolve to provide worldwide vertical guidance.
Juan Blanch +7 more
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Research on Receiver Autonomous Integrity Monitoring Technology for Rocket Onboard GNSS Receiver
2013The Receiver Autonomous Integrity Monitoring (RAIM) Technology can make the fault detection and identification with the redundant Global Navigation Satellite System (GNSS) information independently. In this paper, the RAIM technology is investigated for the high-speed rocket onboard GNSS receiver.
Rui Su +4 more
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A Framework for Bayesian Receiver Autonomous Integrity Monitoring in Urban Navigation
Navigation, 2011: A Bayesian framework for RAIM designed to meet the requirements of today's urban navigation is introduced. The framework is general in the sense that when contaminated observations can be modeled, integrity information can be computed. We consider the case of positioning in the presence of multipath signals.
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Advanced Receiver Autonomous Integrity Monitoring in Tightly Integrated GNSS/Inertial Systems
2020 DGON Inertial Sensors and Systems (ISS), 2020This paper deals with the tight integration of Inertial Measurement Units (IMU), Global Navigation Satellite Systems (GNSS) and the concept of Advanced Receiver Autonomous Integrity Monitoring (ARAIM). While the integration of an IMU and GNSS to an integrated GNSS/Inertial system is well known and widespread, the use of the ARAIM concept in inertial ...
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Research on Receiver Autonomous Integrity Monitoring in LEO satellites-augmented Compass
2011 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC), 2011At present, the Chinese Compass navigation satellite system is under investigation and construction. The construction of Compass follows a step-by-step pattern based on technical and economic evolution in China, the current design is to cover Asia-Pacific area around 2012, and all over the world before 2020.
Shiwei Tian +4 more
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Timing advanced receiver autonomous integrity monitoring augmented by BDSBAS
Measurement Science and TechnologyAbstract Global navigation satellite system (GNSS) provides sufficiently accurate and affordable time and frequency information for timing and synchronization (T&S) equipment, which is widely used in modern infrastructures such as 5 G, small cells, and data centers.
Yu Xue +4 more
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Global Navigation Satellite System (GNSS) Receiver Autonomous Integrity Monitoring (RAIM) is essential for safety-of-life and liability critical applications. This paper discusses two fundamentally different ways to assess the integrity risk of an operation with RAIM, based on a different amount of information available: the expected (or average ...
Jinling Wang, Pieter B. Ober
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GNSS Receiver Autonomous Integrity Monitoring Algorithm Based on Robust Strong Tracking Filtering
2018 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC), 2018In this paper, the effects of Kalman model error and gross errors in measurement data on the performance of RAIM (Receiver Autonomous Integrity Monitoring) are studied. Firstly, the deviations of RAIM detection statistic caused by the above errors are calculated. And then an improved RAIM detection algorithm based on robust strong tracking filtering is
Xiaojun Zou, Baowang Lian, Zesheng Dan
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