Results 221 to 230 of about 1,981 (241)

Sequential advanced receiver autonomous integrity monitoring method considering the optimal sample size

Advances in Space Research, 2023
Xueen Zheng
exaly   +2 more sources

Evaluation of new satellite-based approach procedures enabled by advanced receiver autonomous integrity monitoring algorithms: a case study of a Brazilian airport

2023 IEEE/AIAA 42nd Digital Avionics Systems Conference (DASC), 2023
The advent of the Performance-Based Navigation (PBN) concept supported by Global Navigation Satellite Systems (GNSS) has brought significant changes in airspace design, resulting in more direct, flexible and precise routes worldwide.
Glaucia Costa Balvedi, Jose Alexandre Tavares Guerreiro Fregnani, Mayara Conde Rocha Murça, Joao Francisco Galera Monico, Osamu Saotome   +4 more
openaire   +2 more sources

An Overview of Advanced Receiver Autonomous Integrity Monitoring (ARAIM)

ION Pacific PNT, 2019
Todd Walter
openaire   +2 more sources

Advanced Receiver Autonomous Integrity Monitoring for Multi-Constellation GNSS and LEO-Augmented GNSS

Global Navigation Satellite Systems (GNSS), including the U.S. Global Positioning System (GPS), the European Galileo, Russia's GLONASS, and China's BeiDou, have become essential for modern positioning, navigation, and timing (PNT) services, from driving directions to timing in telecommunications.
Racelis, Danielle Joan Lim
openaire   +3 more sources

Flight Testing of Advanced Receiver Autonomous Integrity Monitoring and Dual Polarized Antenna

2020 IEEE/ION Position, Location and Navigation Symposium (PLANS), 2020
The 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, Chiawei Lee, Dallas Wright, Gregory Eastburg, Josh Rivey, Shawn Whitney, Tristan Atkins   +6 more
openaire   +1 more source

An Advanced Receiver Autonomous Integrity Monitoring (ARAIM) Ground Monitor Design to Estimate Satellite Orbits and Clocks

Journal of Navigation, 2020
This paper describes a method to determine global navigation satellite systems (GNSS) satellite orbits and clocks for advanced receiver autonomous integrity monitoring (ARAIM). The orbit and clock estimates will be used as a reference truth to monitor signal-in-space integrity parameters of the ARAIM integrity support message (ISM).
Yawei Zhai, Jaymin Patel, Xingqun Zhan, Mathieu Joerger, Boris Pervan   +4 more
openaire   +1 more source

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, 2018
Advanced 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, Todd Walter, Per Enge, Jason Burns, Mikael Mabilleau, Ilaria Martini, Juan Pablo Boyero, Gerhard Berz   +7 more
openaire   +1 more source

Advanced receiver autonomous integrity monitoring (ARAIM) schemes with GNSS time offsets

Advances in Space Research, 2013
Abstract Within the current Advanced Receiver Integrity Monitoring (ARAIM) scheme, the time offsets between different Global Navigation Satellite System (GNSS) constellations are estimated along with a position solution and the GNSS receiver clock error. This scheme is called the Time-offsets Estimated ARAIM, or the TOE ARAIM. In order to enhance the
Yun Wu, Jinling Wang, Yiping Jiang
openaire   +1 more source

Research on Satellite Selection Strategy for Receiver Autonomous Integrity Monitoring Applications

Remote Sensing, 2021
Huibin Wang, Yongmei Cheng, Zhenwei Li   +2 more
exaly  

RAIM-NET: A Deep Neural Network for Receiver Autonomous Integrity Monitoring

Remote Sensing, 2020
Yuan Sun
exaly