Prior Position- and ZWD-Constrained PPP for Instantaneous Convergence in Real-Time Kinematic Application
PPP using Kalman filter typically takes half an hour to achieve high positioning precision, which is required for small movements detection. Many dataset gaps due to temporary GPS receiver signal loss challenge the feasibility of PPP in GPS applications for kinematic precise positioning. Additional...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-07-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/13/14/2756 |
| _version_ | 1797526108185296896 |
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| author | Xu Tang Shuanggen Jin Gethin Wyn Roberts |
| author_facet | Xu Tang Shuanggen Jin Gethin Wyn Roberts |
| author_sort | Xu Tang |
| collection | DOAJ |
| description | PPP using Kalman filter typically takes half an hour to achieve high positioning precision, which is required for small movements detection. Many dataset gaps due to temporary GPS receiver signal loss challenge the feasibility of PPP in GPS applications for kinematic precise positioning. Additional convergence time is needed before PPP reaches the required precision again. In this study, Partial parameters were estimated by using the position and ZWD as prior constraint. The solved partial parameters were applied to initialize the Kalman filter for PPP instantaneous re-convergence. A set of bridge GPS data with logging gaps were used to validate the re-convergence performance of improved PPP. The results show that the displacements from position-constrained PPP with initialized variance are 0.14 m, 0.09 m and 0.05 m, which are much better than those from standard PPP. The precision of displacement from position- and ZWD-constrained PPP with initialized variance is slightly improved when compared with that from position-constrained PPP with initialized variance at all 3 surveying points. The bridge experiment verifies that the displacement time series of improved PPP instantaneously converges at the first epoch of all signal reacquired, in contrast, standard PPP deviates by meters. This finding suggests that improved PPP can successfully deal with the GPS data logging gaps for instantaneous convergence. |
| first_indexed | 2024-03-10T09:24:32Z |
| format | Article |
| id | doaj.art-3aaa19c523d64e67b9681d390f3818cd |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-10T09:24:32Z |
| publishDate | 2021-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-3aaa19c523d64e67b9681d390f3818cd2023-11-22T04:51:57ZengMDPI AGRemote Sensing2072-42922021-07-011314275610.3390/rs13142756Prior Position- and ZWD-Constrained PPP for Instantaneous Convergence in Real-Time Kinematic ApplicationXu Tang0Shuanggen Jin1Gethin Wyn Roberts2School of Remote Sensing & Geomatics Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, ChinaSchool of Remote Sensing & Geomatics Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, ChinaDepartment of Land and Sea Mapping, Faroese Environment Agency, 165 Tórshavn, Faroe IslandsPPP using Kalman filter typically takes half an hour to achieve high positioning precision, which is required for small movements detection. Many dataset gaps due to temporary GPS receiver signal loss challenge the feasibility of PPP in GPS applications for kinematic precise positioning. Additional convergence time is needed before PPP reaches the required precision again. In this study, Partial parameters were estimated by using the position and ZWD as prior constraint. The solved partial parameters were applied to initialize the Kalman filter for PPP instantaneous re-convergence. A set of bridge GPS data with logging gaps were used to validate the re-convergence performance of improved PPP. The results show that the displacements from position-constrained PPP with initialized variance are 0.14 m, 0.09 m and 0.05 m, which are much better than those from standard PPP. The precision of displacement from position- and ZWD-constrained PPP with initialized variance is slightly improved when compared with that from position-constrained PPP with initialized variance at all 3 surveying points. The bridge experiment verifies that the displacement time series of improved PPP instantaneously converges at the first epoch of all signal reacquired, in contrast, standard PPP deviates by meters. This finding suggests that improved PPP can successfully deal with the GPS data logging gaps for instantaneous convergence.https://www.mdpi.com/2072-4292/13/14/2756precise point positioninginstantaneous convergencebridge displacement monitoringGPS |
| spellingShingle | Xu Tang Shuanggen Jin Gethin Wyn Roberts Prior Position- and ZWD-Constrained PPP for Instantaneous Convergence in Real-Time Kinematic Application Remote Sensing precise point positioning instantaneous convergence bridge displacement monitoring GPS |
| title | Prior Position- and ZWD-Constrained PPP for Instantaneous Convergence in Real-Time Kinematic Application |
| title_full | Prior Position- and ZWD-Constrained PPP for Instantaneous Convergence in Real-Time Kinematic Application |
| title_fullStr | Prior Position- and ZWD-Constrained PPP for Instantaneous Convergence in Real-Time Kinematic Application |
| title_full_unstemmed | Prior Position- and ZWD-Constrained PPP for Instantaneous Convergence in Real-Time Kinematic Application |
| title_short | Prior Position- and ZWD-Constrained PPP for Instantaneous Convergence in Real-Time Kinematic Application |
| title_sort | prior position and zwd constrained ppp for instantaneous convergence in real time kinematic application |
| topic | precise point positioning instantaneous convergence bridge displacement monitoring GPS |
| url | https://www.mdpi.com/2072-4292/13/14/2756 |
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