ROTI‐Based Stochastic Model to Improve GNSS Precise Point Positioning Under Severe Geomagnetic Storm Activity
Abstract For global navigation satellite system (GNSS), ionospheric disturbances caused by the geomagnetic storm can reduce the accuracy and reliability of precision point positioning (PPP). At present, common stochastic models in GNSS PPP, such as the elevation angle stochastic (EAS) model or carri...
Saved in:
Main Authors: | Xiaomin Luo, Junfeng Du, João Francisco Galera Monico, Chao Xiong, Jingbin Liu, Xinmei Liang |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2022-07-01
|
Series: | Space Weather |
Online Access: | https://doi.org/10.1029/2022SW003114 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A Method to Mitigate the Effects of Strong Geomagnetic Storm on GNSS Precise Point Positioning
by: Xiaomin Luo, et al.
Published: (2022-01-01) -
Time‐Lagged Effects of Ionospheric Response to Severe Geomagnetic Storms on GNSS Kinematic Precise Point Positioning
by: Zhe Yang, et al.
Published: (2024-09-01) -
Leveraging ROTI map derived from Indonesian GNSS receiver network for advancing study of Equatorial Plasma Bubble in Southeast/East Asia
by: Prayitno Abadi, et al.
Published: (2025-01-01) -
Can Smartphones Detect Geomagnetic Storms?
by: S. F. Odenwald
Published: (2022-03-01) -
High-Precision UAV Photogrammetry with RTK GNSS: Eliminating Ground Control Points
by: Mehmet Nurullah Alkan
Published: (2024-12-01)