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Open AccessTechnical Note
Cube: An Open-Source Software for Clock Offset Estimation and Precise Point Positioning with Ambiguity Resolution
by
Shuai Liu
Shuai Liu 1,*,
Yunbin Yuan
Yunbin Yuan 2,
Xiaosong Guo
Xiaosong Guo 1,
Kezhi Wang
Kezhi Wang 1 and
Gongwei Xiao
Gongwei Xiao 3
1
The 54th Research Institute of CETC, Shijiazhuang 050081, China
2
State Key Laboratory of Geodesy and Earth’s Dynamics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan 430071, China
3
School of Communications and Information Engineering (School of Artificial Intelligence), Xi’an University of Posts and Telecommunications, Xi’an 710121, China
*
Author to whom correspondence should be addressed.
Remote Sens. 2024, 16(15), 2739; https://doi.org/10.3390/rs16152739 (registering DOI)
Submission received: 20 June 2024
/
Revised: 18 July 2024
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Accepted: 25 July 2024
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Published: 26 July 2024
Abstract
Precise point positioning (PPP) is a prevalent, high-precision spatial absolution positioning method, and its performance can be enhanced by ambiguity resolution (AR). To fulfill the growing need for high-precision positioning, we developed an open-source GNSS data processing package based on the decoupled clock model called Cube, which integrates decoupled clock offset estimation and precise point positioning with ambiguity resolution (PPP-AR). Cube is a secondary development based on RTKLIB. Besides the decoupled clock model, Cube can also estimate legacy clocks for the International GNSS Service (IGS), as well as clocks with satellite code bias extraction, and perform PPP-AR using the integer-recovered clock model. In this work, we designed satellite clock estimation and PPP-AR experiments with one week of GPS data to validate Cube’s performance. Results show that the software can produce high-precision satellite clock products and positioning results that are adequate for daily scientific study. With Cube, researchers do not need to rely on public PPP-AR products, and they can estimate decoupled clock products and implement PPP-AR anytime.
Share and Cite
MDPI and ACS Style
Liu, S.; Yuan, Y.; Guo, X.; Wang, K.; Xiao, G.
Cube: An Open-Source Software for Clock Offset Estimation and Precise Point Positioning with Ambiguity Resolution. Remote Sens. 2024, 16, 2739.
https://doi.org/10.3390/rs16152739
AMA Style
Liu S, Yuan Y, Guo X, Wang K, Xiao G.
Cube: An Open-Source Software for Clock Offset Estimation and Precise Point Positioning with Ambiguity Resolution. Remote Sensing. 2024; 16(15):2739.
https://doi.org/10.3390/rs16152739
Chicago/Turabian Style
Liu, Shuai, Yunbin Yuan, Xiaosong Guo, Kezhi Wang, and Gongwei Xiao.
2024. "Cube: An Open-Source Software for Clock Offset Estimation and Precise Point Positioning with Ambiguity Resolution" Remote Sensing 16, no. 15: 2739.
https://doi.org/10.3390/rs16152739
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