Results 101 to 110 of about 7,784,670 (122)

Multi-Constellation T-RAIM: An Experimental Evaluation

open access: yesION GNSS+, The International Technical Meeting of the Satellite Division of The Institute of Navigation, 2017
Time-Receiver Autonomous Integrity Monitoring (T-RAIM) algorithms assess the reliability of the timing solution provided by a Global Navigation Satellite System (GNSS) timing receiver. Timing receivers process GNSS observables under the assumption that their antenna is static or that their position is known.
Ciro Gioia, Daniele Borio
openaire   +2 more sources

Robust Precise on Board Orbit Determination Exploiting T-RAIM for LEO-PNT

open access: yesThe International Technical Meeting of the The Institute of Navigation
The rapid development of LEO-PNT constellations offers an opportunity to enhance GNSS services with additional signals from LEO satellites. These signals aim to improve performance and reliability for GNSS users. With various global initiatives, LEO-PNT systems utilize cost-effective, multi-tiered architectures that rely on GNSS spaceborne receivers ...
Menzione, F.   +4 more
core   +3 more sources

Vision-Aided RAIM: A New Method for GPS Integrity Monitoring in Approach and Landing Phase [PDF]

open access: yesSensors, 2015
In the 1980s, Global Positioning System (GPS) receiver autonomous integrity monitoring (RAIM) was proposed to provide the integrity of a navigation system by checking the consistency of GPS measurements.
Li Fu, Xianbin Cao, Jinling Wang
exaly   +3 more sources

Smartphone GNSS Performance in an Urban Scenario with RAIM Application

open access: yesSensors, 2022
In an urban scenario, GNSS performance is strongly influenced by gross errors in the measurements, usually related to multipath and non-line-of-sight phenomena. The use of RAIM algorithms is a common approach to solve this issue.
Antonio Angrisano   +2 more
exaly   +2 more sources
Some of the next articles are maybe not open access.

Interference Mitigation and T-RAIM for Robust GNSS Timing

2021 IEEE 8th International Workshop on Metrology for AeroSpace (MetroAeroSpace), 2021
Several layers of defense exist to improve Global Navigation Satellite System (GNSS) receiver performance in the presence of interference. These defenses are implemented at different receiver stages and include pre-correlation interference mitigation, post-correlation measurement screening and Fault Detection and Exclusion (FDE) at the Position ...
Ciro Gioia, Daniele Borio
openaire   +1 more source

GNSS receiver autonomous integrity monitoring (RAIM) algorithm based on robust estimation

open access: yesGeodesy and Geodynamics, 2016
Integrity is significant for safety-of-life applications. Receiver autonomous integrity monitoring (RAIM) has been developed to provide integrity service for civil aviation.
Yuanxi Yang, Junyi Xu
exaly   +2 more sources

Performance Analyses of a RAIM Algorithm for Kalman Filter with GPS and NavIC Constellations

open access: yesSensors, 2021
This paper evaluates the performance of an integrity monitoring algorithm of global navigation satellite systems (GNSS) for the Kalman filter (KF), termed KF receiver autonomous integrity monitoring (RAIM).
Susmita Bhattacharyya
exaly   +2 more sources

Worst-Case Integrity Risk Sensitivity for RAIM with Constellation Modernization

open access: yesRemote Sensing, 2023
The integrity improvement of receiver autonomous integrity monitoring (RAIM) can benefit from a combination of constellations. With the rapid development of constellation modernization, integrity parameters, including the probability of satellite fault ...
Liuqi Wang   +4 more
exaly   +2 more sources

An Improved RAIM Availability Assessment Method Based on the Characteristic Slope

open access: yesSensors
The availability assessment is an important step for onboard application in Receiver Autonomous Integrity Monitoring (RAIM)s. It is commonly implemented using the protection level (PL)-based method.
Jitao Wang, Dan Song
exaly   +2 more sources

Evaluation of BDS and GPS RAIM availability based on data collected in June 2020

Geodesy and Geodynamics, 2021
Xiaping Ma, Kegen Yu, Ershen Wang
exaly  

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