Cargando…
Real-time Kinematic Positioning of INS Tightly Aided Multi-GNSS Ionospheric Constrained PPP
Real-time Precise Point Positioning (PPP) technique is being widely applied for providing precise positioning services with the significant improvement on satellite precise products accuracy. With the rapid development of the multi-constellation Global Navigation Satellite Systems (multi-GNSS), curr...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4965797/ https://www.ncbi.nlm.nih.gov/pubmed/27470270 http://dx.doi.org/10.1038/srep30488 |
_version_ | 1782445318317539328 |
---|---|
author | Gao, Zhouzheng Shen, Wenbin Zhang, Hongping Niu, Xiaoji Ge, Maorong |
author_facet | Gao, Zhouzheng Shen, Wenbin Zhang, Hongping Niu, Xiaoji Ge, Maorong |
author_sort | Gao, Zhouzheng |
collection | PubMed |
description | Real-time Precise Point Positioning (PPP) technique is being widely applied for providing precise positioning services with the significant improvement on satellite precise products accuracy. With the rapid development of the multi-constellation Global Navigation Satellite Systems (multi-GNSS), currently, about 80 navigation satellites are operational in orbit. Obviously, PPP performance is dramatically improved with all satellites compared to that of GPS-only PPP. However, the performance of PPP could be evidently affected by unexpected and unavoidable severe observing environments, especially in the dynamic applications. Consequently, we apply Inertial Navigation System (INS) to the Ionospheric-Constrained (IC) PPP to overcome such drawbacks. The INS tightly aided multi-GNSS IC-PPP model can make full use of GNSS and INS observations to improve the PPP performance in terms of accuracy, availability, continuity, and convergence speed. Then, a set of airborne data is analyzed to evaluate and validate the improvement of multi-GNSS and INS on the performance of IC-PPP. |
format | Online Article Text |
id | pubmed-4965797 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-49657972016-08-08 Real-time Kinematic Positioning of INS Tightly Aided Multi-GNSS Ionospheric Constrained PPP Gao, Zhouzheng Shen, Wenbin Zhang, Hongping Niu, Xiaoji Ge, Maorong Sci Rep Article Real-time Precise Point Positioning (PPP) technique is being widely applied for providing precise positioning services with the significant improvement on satellite precise products accuracy. With the rapid development of the multi-constellation Global Navigation Satellite Systems (multi-GNSS), currently, about 80 navigation satellites are operational in orbit. Obviously, PPP performance is dramatically improved with all satellites compared to that of GPS-only PPP. However, the performance of PPP could be evidently affected by unexpected and unavoidable severe observing environments, especially in the dynamic applications. Consequently, we apply Inertial Navigation System (INS) to the Ionospheric-Constrained (IC) PPP to overcome such drawbacks. The INS tightly aided multi-GNSS IC-PPP model can make full use of GNSS and INS observations to improve the PPP performance in terms of accuracy, availability, continuity, and convergence speed. Then, a set of airborne data is analyzed to evaluate and validate the improvement of multi-GNSS and INS on the performance of IC-PPP. Nature Publishing Group 2016-07-29 /pmc/articles/PMC4965797/ /pubmed/27470270 http://dx.doi.org/10.1038/srep30488 Text en Copyright © 2016, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Gao, Zhouzheng Shen, Wenbin Zhang, Hongping Niu, Xiaoji Ge, Maorong Real-time Kinematic Positioning of INS Tightly Aided Multi-GNSS Ionospheric Constrained PPP |
title | Real-time Kinematic Positioning of INS Tightly Aided Multi-GNSS Ionospheric Constrained PPP |
title_full | Real-time Kinematic Positioning of INS Tightly Aided Multi-GNSS Ionospheric Constrained PPP |
title_fullStr | Real-time Kinematic Positioning of INS Tightly Aided Multi-GNSS Ionospheric Constrained PPP |
title_full_unstemmed | Real-time Kinematic Positioning of INS Tightly Aided Multi-GNSS Ionospheric Constrained PPP |
title_short | Real-time Kinematic Positioning of INS Tightly Aided Multi-GNSS Ionospheric Constrained PPP |
title_sort | real-time kinematic positioning of ins tightly aided multi-gnss ionospheric constrained ppp |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4965797/ https://www.ncbi.nlm.nih.gov/pubmed/27470270 http://dx.doi.org/10.1038/srep30488 |
work_keys_str_mv | AT gaozhouzheng realtimekinematicpositioningofinstightlyaidedmultignssionosphericconstrainedppp AT shenwenbin realtimekinematicpositioningofinstightlyaidedmultignssionosphericconstrainedppp AT zhanghongping realtimekinematicpositioningofinstightlyaidedmultignssionosphericconstrainedppp AT niuxiaoji realtimekinematicpositioningofinstightlyaidedmultignssionosphericconstrainedppp AT gemaorong realtimekinematicpositioningofinstightlyaidedmultignssionosphericconstrainedppp |