Performance Analysis of Undifferenced NRTK Considering Time-Varying Characteristics of Atmosphere

Network RTK (NRTK), one of the primary means of high-precision real-time kinematic positioning (RTK), has been widely used. The key to providing highly accurate positioning is the ambiguity of the reference station being correctly fixed, but the atmospheric errors must be handled carefully, which se...

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Bibliographic Details
Published in:Remote sensing (Basel, Switzerland) Switzerland), 2023-10, Vol.15 (19), p.4784
Main Authors: Li, Jun, Zhu, Huizhong, Lu, Yangyang, Zhang, Mingze, Xu, Aigong
Format: Article
Language:English
Subjects:
Accuracy
Algorithms
Ambiguity
ambiguity fixed
Artificial satellites in navigation
Atmosphere
atmospheric error
Atmospheric models
Calibration
Comparative analysis
Earth
Empirical analysis
Error correction
Error correction & detection
error correction value
Fixing
Forecasts and trends
Ionosphere
Kinematics
Mathematical models
Methods
network RTK
Parameter estimation
Power spectral density
Random walk
Real time
Receivers & amplifiers
Satellites
Technology application
Testing
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Summary:Network RTK (NRTK), one of the primary means of high-precision real-time kinematic positioning (RTK), has been widely used. The key to providing highly accurate positioning is the ambiguity of the reference station being correctly fixed, but the atmospheric errors must be handled carefully, which seriously affects the efficiency of ambiguity fixing. This paper aims to improve the efficiency of ambiguity fixing by studying the time-varying characteristics of atmospheric errors. Once reasonable constraints are imposed on atmospheric parameters in the uncombined observation model, it can better fix ambiguity. Atmospheric parameters are estimated by random walk at the reference station, and the power spectral density (PSD) of atmosphere is determined by real-time observations, instead of using empirical values or empirical models that do not consider atmospheric variations. The experimental results showed that the real-time estimated PSD can improve the ambiguity fixing time by 18.4% and the ambiguity fixing success rate for the reference station by 11.7%, compared with using empirical PSD for atmospheric parameters. Unlike general NRTK positioning based on differential error correction values, undifferenced NRTK estimates the integer ambiguity and undifferenced error correction value at a single reference station, ensuring the independence of the error correction value of each reference station, and it can be easily broadcast and received through the network, which is more convenient for realizing high-precision RTK positioning for users.
ISSN:2072-4292
2072-4292
DOI:10.3390/rs15194784