Stochastic characteristics analysis on GNSS observations and real-time ROTI-based stochastic model compensation method in the ionospheric scintillation environment-Reference-Cited by-同舟云学术

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Stochastic characteristics analysis on GNSS observations and real-time ROTI-based stochastic model compensation method in the ionospheric scintillation environment

Published:2024-05-25 Issue:3 Volume:28 Page:
ISSN:1080-5370
Container-title:GPS Solutions
language:en
Short-container-title:GPS Solut

Author:

Cheng Sixiang,Cheng Jianhua,Zang Nan,Zhang Zhetao,Zhao Guojing,Chen Sicheng

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Science Fund for Distinguished Young Scholars of Heilongjiang Province

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s10291-024-01670-2.pdf

Reference40 articles.

1. Aquino M, Monico JFG, Dodson AH, Marques H, De Franceschi G, Alfonsi L, Romano V, Andreoti M (2009) Improving the GNSS positioning stochastic model in the presence of ionospheric scintillation. J Geod 83(10):953–966

2. Barros D, Takahashi H, Wrasse CM, Figueiredo CAO (2018) Characteristics of equatorial plasma bubbles observed by TEC map based on ground-based GNSS receivers over South America. Ann Geophys 36(1):91–100

3. Blewitt G (1990) An automatic editing algorithm for GPS data. Geophys Res Lett 17(3):199–202

4. Chang G (2014) Robust Kalman filtering based on Mahalanobis distance as outlier judging criterion. J Geod 88(4):391–401

5. Cheng S, Cheng J, Zang N, Zhang Z, Chen S (2022) A sequential student’s t-based robust Kalman filter for multi-GNSS PPP/INS tightly coupled model in the urban environment. Remote Sens 14(22):5878

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