Next Article in Journal
SGNet: A Structure-Guided Network with Dual-Domain Boundary Enhancement and Semantic Fusion for Skin Lesion Segmentation
Previous Article in Journal
Low-Cost Microalgae Cell Concentration Estimation in Hydrochemistry Applications Using Computer Vision
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Sensors
Volume 25
Issue 15
10.3390/s25154653
sensors-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
Communication

Fault Detection in Real-Time Kinematic Positioning Using Multiple Reference Stations

by
Euiho Kim
1,* and
Soomin Lee
2
1
Department of Mechanical & System Design Engineering, Hongik University, Seoul 04066, Republic of Korea
2
Department of Mechanical Engineering, Hongik University, Seoul 04066, Republic of Korea
*
Author to whom correspondence should be addressed.
Sensors 2025, 25(15), 4653; https://doi.org/10.3390/s25154653 (registering DOI)
Submission received: 30 June 2025 / Revised: 24 July 2025 / Accepted: 25 July 2025 / Published: 27 July 2025
(This article belongs to the Section Fault Diagnosis & Sensors)
Versions Notes

Abstract

Multiple-reference-station-based real-time kinematics (MR-RTK) is an advanced RTK technique that leverages global navigation satellite system (GNSS) measurements from multiple reference stations and their known baselines. This study investigates the fault detection capabilities of MR-RTK by employing additional measurements from continuously operating reference stations (CORSs) to evaluate the probability of missed detection. The proposed method was validated using test data from a ground rover and a few CORSs within a 10 km radius. The test results show that the missed detection probability decreased by up to 55.0% as the number of reference stations increased up to four.
Keywords: RTK; fault monitoring; GNSS; innovation RTK; fault monitoring; GNSS; innovation

Share and Cite

MDPI and ACS Style

Kim, E.; Lee, S. Fault Detection in Real-Time Kinematic Positioning Using Multiple Reference Stations. Sensors 2025, 25, 4653. https://doi.org/10.3390/s25154653

AMA Style

Kim E, Lee S. Fault Detection in Real-Time Kinematic Positioning Using Multiple Reference Stations. Sensors. 2025; 25(15):4653. https://doi.org/10.3390/s25154653

Chicago/Turabian Style

Kim, Euiho, and Soomin Lee. 2025. "Fault Detection in Real-Time Kinematic Positioning Using Multiple Reference Stations" Sensors 25, no. 15: 4653. https://doi.org/10.3390/s25154653

APA Style

Kim, E., & Lee, S. (2025). Fault Detection in Real-Time Kinematic Positioning Using Multiple Reference Stations. Sensors, 25(15), 4653. https://doi.org/10.3390/s25154653

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop