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Prior Position- and ZWD-Constrained PPP for Instantaneous Convergence in Real-Time Kinematic Application
Tang, Xu1; Jin, Shuanggen1,2; Roberts, Gethin Wyn3,4
2021-07-01
Source PublicationREMOTE SENSING
Volume13Issue:14Pages:17
AbstractPPP 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.
Keywordprecise point positioning instantaneous convergence bridge displacement monitoring GPS
Funding OrganizationYoung Scientist program of the Natural Science Foundation of China (NSFC) ; Young Scientist program of the Natural Science Foundation of China (NSFC) ; Ningbo Commonweal project ; Ningbo Commonweal project ; Startup Foundation for Introducing Talent of NUIST ; Startup Foundation for Introducing Talent of NUIST ; Young Scientist program of the Natural Science Foundation of China (NSFC) ; Young Scientist program of the Natural Science Foundation of China (NSFC) ; Ningbo Commonweal project ; Ningbo Commonweal project ; Startup Foundation for Introducing Talent of NUIST ; Startup Foundation for Introducing Talent of NUIST ; Young Scientist program of the Natural Science Foundation of China (NSFC) ; Young Scientist program of the Natural Science Foundation of China (NSFC) ; Ningbo Commonweal project ; Ningbo Commonweal project ; Startup Foundation for Introducing Talent of NUIST ; Startup Foundation for Introducing Talent of NUIST ; Young Scientist program of the Natural Science Foundation of China (NSFC) ; Young Scientist program of the Natural Science Foundation of China (NSFC) ; Ningbo Commonweal project ; Ningbo Commonweal project ; Startup Foundation for Introducing Talent of NUIST ; Startup Foundation for Introducing Talent of NUIST
DOI10.3390/rs13142756
WOS KeywordGPS ; GNSS
Language英语
Funding ProjectYoung Scientist program of the Natural Science Foundation of China (NSFC)[41704024] ; Ningbo Commonweal project[2019C50017] ; Startup Foundation for Introducing Talent of NUIST[2019r034]
Funding OrganizationYoung Scientist program of the Natural Science Foundation of China (NSFC) ; Young Scientist program of the Natural Science Foundation of China (NSFC) ; Ningbo Commonweal project ; Ningbo Commonweal project ; Startup Foundation for Introducing Talent of NUIST ; Startup Foundation for Introducing Talent of NUIST ; Young Scientist program of the Natural Science Foundation of China (NSFC) ; Young Scientist program of the Natural Science Foundation of China (NSFC) ; Ningbo Commonweal project ; Ningbo Commonweal project ; Startup Foundation for Introducing Talent of NUIST ; Startup Foundation for Introducing Talent of NUIST ; Young Scientist program of the Natural Science Foundation of China (NSFC) ; Young Scientist program of the Natural Science Foundation of China (NSFC) ; Ningbo Commonweal project ; Ningbo Commonweal project ; Startup Foundation for Introducing Talent of NUIST ; Startup Foundation for Introducing Talent of NUIST ; Young Scientist program of the Natural Science Foundation of China (NSFC) ; Young Scientist program of the Natural Science Foundation of China (NSFC) ; Ningbo Commonweal project ; Ningbo Commonweal project ; Startup Foundation for Introducing Talent of NUIST ; Startup Foundation for Introducing Talent of NUIST
WOS Research AreaEnvironmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
WOS SubjectEnvironmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS IDWOS:000677147600001
PublisherMDPI
Citation statistics
Document Type期刊论文
Identifierhttp://ir.bao.ac.cn/handle/114a11/76417
Collection中国科学院国家天文台
Corresponding AuthorTang, Xu
Affiliation1.Nanjing Univ Informat Sci & Technol, Sch Remote Sensing & Geomat Engn, Nanjing 210044, Peoples R China
2.Chinese Acad Sci, Shanghai Astron Observ, Shanghai 200030, Peoples R China
3.Faroese Environm Agcy, Dept Land & Sea Mapping, FR-165 Torshavn, Faroe Islands
4.Univ Faroe Isl, Fac Sci & Technol, FR-100 Torshavn, Faroe Islands
Recommended Citation
GB/T 7714
Tang, Xu,Jin, Shuanggen,Roberts, Gethin Wyn. Prior Position- and ZWD-Constrained PPP for Instantaneous Convergence in Real-Time Kinematic Application[J]. REMOTE SENSING,2021,13(14):17.
APA Tang, Xu,Jin, Shuanggen,&Roberts, Gethin Wyn.(2021).Prior Position- and ZWD-Constrained PPP for Instantaneous Convergence in Real-Time Kinematic Application.REMOTE SENSING,13(14),17.
MLA Tang, Xu,et al."Prior Position- and ZWD-Constrained PPP for Instantaneous Convergence in Real-Time Kinematic Application".REMOTE SENSING 13.14(2021):17.
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