A composite stochastic model considering the terrain topography for real-time GNSS monitoring in canyon environments-Reference-Cited by-同舟云学术

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A composite stochastic model considering the terrain topography for real-time GNSS monitoring in canyon environments

Published:2022-10 Issue:10 Volume:96 Page:
ISSN:0949-7714
Container-title:Journal of Geodesy
language:en
Short-container-title:J Geod

Author:

Zhang Zhetao^ORCID,Li Yuan,He Xiufeng,Chen Wu,Li Bofeng

Funder

national natural science foundation of china

natural science foundation of jiangsu province

china postdoctoral science foundation

jiangsu planned projects for postdoctoral research funds

Publisher

Springer Science and Business Media LLC

Subject

Computers in Earth Sciences,Geochemistry and Petrology,Geophysics

Link

https://link.springer.com/content/pdf/10.1007/s00190-022-01660-7.pdf

Reference55 articles.

1. Adjrad M, Groves P (2017) Enhancing least squares GNSS positioning with 3D mapping without accurate prior knowledge: GNSS positioning and 3D mapping. Navigation 64:75–91

2. Amiri-Simkooei A, Teunissen P, Tiberius C (2009) Application of least-squares variance component estimation to GPS observables. J Surv Eng 135:149–160

3. Atilaw T, Cilliers P, Martinez P (2017) Azimuth-dependent elevation threshold (ADET) masks to reduce multipath errors in ionospheric studies using GNSS. Adv Space Res 59:2726–2739

4. Axelrad P, Comp C, Macdoran P (1996) SNR-based multipath error correction for GPS differential phase. IEEE Trans Aerosp Electron Syst 32:650–660

5. Baarda W (1968) A testing procedure for use in geodetic networks. In: Proceedings of publications on geodesy

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