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Title: An efficient fault detection and exclusion method for ephemeris monitoring
Authors: Jiang, Y 
Li, W 
Zhang, H 
Issue Date: Jul-2023
Source: Remote sensing, July 2023, v. 15, no. 13, 3259
Abstract: The ephemeris fault needs to be detected and mitigated in the ground-based augmentation system to provide precision approach for the aircraft. In the current fault detection and exclusion (FDE) method, the double-differenced carrier phase (DDCP) observation is used as a test statistic to detect a faulty satellite caused by an ephemeris fault, taking advantage of the residual spatial gradient. However, the current FDE method cannot distinguish whether the fault comes from a reference satellite (RS) or a non-reference satellite (NRS) in DDCP. One way to address this issue is to pre-validate the RS before it can be used to form a DDCP test statistic for detecting ephemeris fault on the NRS. The RS is pre-validated using the previous ephemeris for any newly acquired and re-acquired satellite. This method is developed in detail to present the shortcomings. A more efficient FDE method using multiple hypothesis testing to detect ephemeris fault on both the RS and NRS simultaneously in real time is proposed. Moreover, to facilitate the application in integrity monitoring, the test risks and minimum detectable error are analyzed. The numerical results of the proposed FDE method show an improved performance in detecting ephemeris fault on the RS and a comparable performance on the NRS compared with the current FDE method.
Keywords: Fault detection and exclusion
Integrity monitoring
Spatial gradient monitor
Publisher: MDPI AG
Journal: Remote sensing 
EISSN: 2072-4292
DOI: 10.3390/rs15133259
Rights: © 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
The following publication Jiang Y, Li W, Zhang H. An Efficient Fault Detection and Exclusion Method for Ephemeris Monitoring. Remote Sensing. 2023; 15(13):3259 is available at https://doi.org/10.3390/rs15133259.
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