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Journal of Applied Geodesy

Editor-in-Chief: Kahmen, Heribert / Rizos, Chris


CiteScore 2018: 1.61

SCImago Journal Rank (SJR) 2018: 0.532
Source Normalized Impact per Paper (SNIP) 2018: 1.064

Online
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1862-9024
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Volume 9, Issue 1

Issues

Performance Analysis of Fault Detection and Identification for Multiple Faults in GNSS and GNSS/INS Integration

Muwaffaq Alqurashi
  • Corresponding author
  • School of Civil and Environmental Engineering University of New South Wales, Sydney, NSW 2052, Australia, Faculty of Engineering Taif University, Ministry of Higher Education, Taif, Saudi Arabia
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/ Jinling Wang
  • School of Civil and Environmental Engineering University of New South Wales, Sydney, NSW 2052, Australia
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Published Online: 2015-03-14 | DOI: https://doi.org/10.1515/jag-2014-0019

Abstract

For positioning, navigation and timing (PNT) purposes, GNSS or GNSS/INS integration is utilised to provide real-time solutions. However, any potential sensor failures or faulty measurements due to malfunctions of sensor components or harsh operating environments may cause unsatisfactory estimation for PNT parameters. The inability for immediate detecting faulty measurements or sensor component failures will reduce the overall performance of the system. So, real time detection and identification of faulty measurements is required to make the system more accurate and reliable for different applications that need real time solutions such as real time mapping for safety or emergency purposes. Consequently, it is necessary to implement an online fault detection and isolation (FDI) algorithm which is a statistic-based approach to detect and identify multiple faults.However, further investigations on the performance of the FDI for multiple fault scenarios is still required. In this paper, the performance of the FDI method under multiple fault scenarios is evaluated, e.g., for two, three and four faults in the GNSS and GNSS/INS measurements under different conditions of visible satellites and satellites geometry. Besides, the reliability (e.g., MDB) and separability (correlation coefficients between faults detection statistics) measures are also investigated to measure the capability of the FDI method. A performance analysis of the FDI method is conducted under the geometric constraints, to show the importance of the FDI method in terms of fault detectability and separability for robust positioning and navigation for real time applications.

Keywords: GNSS; Fault detection and identification; Reliability & Separability

About the article

Received: 2014-09-19

Accepted: 2014-12-09

Published Online: 2015-03-14

Published in Print: 2015-03-01


Citation Information: Journal of Applied Geodesy, Volume 9, Issue 1, Pages 35–48, ISSN (Online) 1862-9024, ISSN (Print) 1862-9016, DOI: https://doi.org/10.1515/jag-2014-0019.

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