Asynchronous RTK Method for Detecting the Stability of the Reference Station in GNSS Deformation Monitoring
The real-time kinematic (RTK) positioning technique of global navigation satellite systems (GNSS) has been widely used for deformation monitoring in the past several decades. The RTK technique can provide relative displacements in a local reference frame defined by a highly stable reference station....
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MDPI AG
2020-02-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/20/5/1320 |
| _version_ | 1798043086398423040 |
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| author | Yuan Du Guanwen Huang Qin Zhang Yang Gao Yuting Gao |
| author_facet | Yuan Du Guanwen Huang Qin Zhang Yang Gao Yuting Gao |
| author_sort | Yuan Du |
| collection | DOAJ |
| description | The real-time kinematic (RTK) positioning technique of global navigation satellite systems (GNSS) has been widely used for deformation monitoring in the past several decades. The RTK technique can provide relative displacements in a local reference frame defined by a highly stable reference station. However, the traditional RTK solution does not account for reference stations that experience displacement. This presents a challenge for establishing a near real-time GNSS monitoring system, as since the displacement of a reference station can be easily misinterpreted as a sign of rapid movement at the monitoring station. In this study, based on the reference observations in different time domains, asynchronous and synchronous RTK are proposed and applied together to address this issue, providing more reliable displacement information. Using the asynchronously generated time difference of a reference frame, the proposed approach can detect whether a measured displacement has occurred in the reference or the monitoring station in the current epoch. This allows for the separation of reference station movements from monitoring station movements. The results based on both simulated and landslide monitoring data demonstrate that the proposed method can provide reliable displacement determinations, which are critical in deformation monitoring applications, such as the early warning of landslides. |
| first_indexed | 2024-04-11T22:44:42Z |
| format | Article |
| id | doaj.art-d831ba33eb924e87a1d2b58a92eb8597 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T22:44:42Z |
| publishDate | 2020-02-01 |
| publisher | MDPI AG |
| record_format | Article |
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| spelling | doaj.art-d831ba33eb924e87a1d2b58a92eb85972022-12-22T03:58:48ZengMDPI AGSensors1424-82202020-02-01205132010.3390/s20051320s20051320Asynchronous RTK Method for Detecting the Stability of the Reference Station in GNSS Deformation MonitoringYuan Du0Guanwen Huang1Qin Zhang2Yang Gao3Yuting Gao4College of Geology Engineering and Geomatics, Chang’an University, 126 Yanta Road, Xi’an 710054, ChinaCollege of Geology Engineering and Geomatics, Chang’an University, 126 Yanta Road, Xi’an 710054, ChinaCollege of Geology Engineering and Geomatics, Chang’an University, 126 Yanta Road, Xi’an 710054, ChinaDepartment of Geomatics Engineering, University of Calgary, Calgary, AB T2N 1N4, CanadaDepartment of Geomatics Engineering, University of Calgary, Calgary, AB T2N 1N4, CanadaThe real-time kinematic (RTK) positioning technique of global navigation satellite systems (GNSS) has been widely used for deformation monitoring in the past several decades. The RTK technique can provide relative displacements in a local reference frame defined by a highly stable reference station. However, the traditional RTK solution does not account for reference stations that experience displacement. This presents a challenge for establishing a near real-time GNSS monitoring system, as since the displacement of a reference station can be easily misinterpreted as a sign of rapid movement at the monitoring station. In this study, based on the reference observations in different time domains, asynchronous and synchronous RTK are proposed and applied together to address this issue, providing more reliable displacement information. Using the asynchronously generated time difference of a reference frame, the proposed approach can detect whether a measured displacement has occurred in the reference or the monitoring station in the current epoch. This allows for the separation of reference station movements from monitoring station movements. The results based on both simulated and landslide monitoring data demonstrate that the proposed method can provide reliable displacement determinations, which are critical in deformation monitoring applications, such as the early warning of landslides.https://www.mdpi.com/1424-8220/20/5/1320gnss real-time kinematic positioningreference stationstabilitysynchronous real-time kinematic positioningasynchronous real-time kinematic positioning |
| spellingShingle | Yuan Du Guanwen Huang Qin Zhang Yang Gao Yuting Gao Asynchronous RTK Method for Detecting the Stability of the Reference Station in GNSS Deformation Monitoring Sensors gnss real-time kinematic positioning reference station stability synchronous real-time kinematic positioning asynchronous real-time kinematic positioning |
| title | Asynchronous RTK Method for Detecting the Stability of the Reference Station in GNSS Deformation Monitoring |
| title_full | Asynchronous RTK Method for Detecting the Stability of the Reference Station in GNSS Deformation Monitoring |
| title_fullStr | Asynchronous RTK Method for Detecting the Stability of the Reference Station in GNSS Deformation Monitoring |
| title_full_unstemmed | Asynchronous RTK Method for Detecting the Stability of the Reference Station in GNSS Deformation Monitoring |
| title_short | Asynchronous RTK Method for Detecting the Stability of the Reference Station in GNSS Deformation Monitoring |
| title_sort | asynchronous rtk method for detecting the stability of the reference station in gnss deformation monitoring |
| topic | gnss real-time kinematic positioning reference station stability synchronous real-time kinematic positioning asynchronous real-time kinematic positioning |
| url | https://www.mdpi.com/1424-8220/20/5/1320 |
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