Results 1 to 10 of about 90 (73)
RAIM-NET: A Deep Neural Network for Receiver Autonomous Integrity Monitoring [PDF]
Remote Sensing, 2020 With the continuous popularization of Global Navigation Satellite System (GNSS) in various applications, the performance requirement for integrity is also increasing, especially in the field of safety-of-life. Although the existing Receiver Autonomous Integrity Monitoring (RAIM) algorithm has been embedded in the GNSS receiver as a standard method, it ...
Yuan Sun
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GNSS Receiver Autonomous Integrity Monitoring (RAIM) Algorithm Based on Robust Estimation
Geodesy and Geodynamics, 2016 AbstractIntegrity is significant for safety-of-life applications. Receiver autonomous integrity monitoring (RAIM) has been developed to provide integrity service for civil aviation. At first, the conventional RAIM algorithm is only suitable for single fault detection, single GNSS constellation.
Yuanxi Yang, Junyi Xu
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Natural and Applied Sciences International Journal, 2022 Single frequency receivers for Global Navigation Satellite System (GNSS) are low-cost and easily accessible, deeming them cost-effective for commercial applications requiring localization and tracking. However, the positioning solution these receivers provide must conform to desired reliability standards.
Sunnyaha Saeed +2 more
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Sensors, 2016 In this work, a novel signal processing method is proposed to assist the Receiver Autonomous Integrity Monitoring (RAIM) module used in a receiver of Global Navigation Satellite Systems (GNSS) to improve the integrity of the estimated position.
Mattia Berardo, Letizia lo Presti
exaly +3 more sources
Improved Receiver Autonomous Integrity Monitoring Algorithm
Journal of Engineering, 2019 The integrity monitoring algorithm guarantees that the receiver can get the correct positioning and speed, which has very important theoretical significance and practical application value.
Zihuan Hao
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Multi-Layer Defences for Robust GNSS Timing Retrieval
Sensors, 2021 A multi-layered interference mitigation approach can significantly improve the performance of Global Navigation Satellite System (GNSS) receivers in the presence of jamming.
Ciro Gioia, Daniele Borio
doaj +1 more source
Advanced Receiver Autonomous Integrity Monitoring (ARAIM) for Unmanned Aerial Vehicles
Engineering Proceedings, 2023 Advanced Receiver Autonomous Integrity Monitoring (ARAIM) is an evolution of the currently used aviation-focused Global Navigation Satellite System integrity service, Receiver Autonomous Integrity Monitoring (RAIM).
Merle Snijders +10 more
doaj +1 more source
A Robust Fault Detection Algorithm for the GNSS/INS Integrated Navigation Systems [PDF]
Journal of Geodesy and Geoinformation Science, 2020 Integrity is an important index for GNSS-based navigation and positioning, and the receiver autonomous integrity monitoring (RAIM) algorithm has been presented for integrity applications.
Chen JIANG,Shubi ZHANG,Yizhi CAO,Hui LI,Hui ZHENG
doaj +1 more source
IEEE Access, 2021 In this article, the problem of receiver autonomous integrity monitoring (RAIM) is transformed into a modeling problem using dynamic data and an artificial neural network. A new RAIM method based on a probabilistic neural network (P-RAIM) is presented to
Xueen Zheng +7 more
doaj +1 more source
T-RAIM Approaches: Testing with Galileo Measurements
Sensors, 2023 Several applications rely on time retrieved from Global Navigation Satellite System (GNSS), and this pushes for integrity tailored to timing. Integrity information could be broadcast by GNSS itself, but currently, there are no GNSSs providing such ...
Ciro Gioia
doaj +1 more source