D-RTK: Real-Time Kinematic Positioning Augmented by Dual Reference Stations in Challenging Environments

Considering the vulnerability of Single-reference Real-Time Kinematic (S-RTK) in challenging environment, this study proposes a Dual-reference RTK (D-RTK) positioning strategy. D-RTK utilizes two reference stations to estimate the coordinates of one rover station, enhancing the availability and reliability over S-RTK. The mathematical model of D-RTK is derived from the established S-RTK model, with a focus on reference calibration between two baselines and baseline integration considering condition-based weight factor. The proposed strategy includes an improved integer least-squares framework suitable for dual reference stations positioning to handle the challenges of high-dimensional ambiguity resolution. The performance of D-RTK is validated through experiments in representative challenging environments: medium-long baseline and severe obstructions in deep canyons. Results demonstrate that D-RTK significantly outperforms S-RTK and conventional method with dual baselines in terms of positioning accuracy and ambiguity resolution success rate. The study concludes that D-RTK is a viable solution for low-cost users to enhance GNSS positioning performance in some environments where traditional S-RTK struggles.

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Publication Details

Journal
IEEE Sensors Journal
Published
2025-09-04
DOI
https://doi.org/10.1109/jsen.2025.3603843
Primary Topic
Inertial Sensor and Navigation
Type
article
Field-Weighted Citation Impact
0.00

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article

D-RTK: Real-Time Kinematic Positioning Augmented by Dual Reference Stations in Challenging Environments

Haijun Yuan, Jinwen Zeng, Zhetao Zhang, Xiufeng He
IEEE Sensors Journal
Inertial Sensor and Navigation
article

D-RTK: Real-Time Kinematic Positioning Augmented by Dual Reference Stations in Challenging Environments

Haijun Yuan, Jinwen Zeng, Zhetao Zhang, Xiufeng He
article en

Abstract

Considering the vulnerability of Single-reference Real-Time Kinematic (S-RTK) in challenging environment, this study proposes a Dual-reference RTK (D-RTK) positioning strategy. D-RTK utilizes two reference stations to estimate the coordinates of one rover station, enhancing the availability and reliability over S-RTK. The mathematical model of D-RTK is derived from the established S-RTK model, with a focus on reference calibration between two baselines and baseline integration considering condition-based weight factor. The proposed strategy includes an improved integer least-squares framework suitable for dual reference stations positioning to handle the challenges of high-dimensional ambiguity resolution. The performance of D-RTK is validated through experiments in representative challenging environments: medium-long baseline and severe obstructions in deep canyons. Results demonstrate that D-RTK significantly outperforms S-RTK and conventional method with dual baselines in terms of positioning accuracy and ambiguity resolution success rate. The study concludes that D-RTK is a viable solution for low-cost users to enhance GNSS positioning performance in some environments where traditional S-RTK struggles.

IEEE Sensors JournalVol. 25(20)
Hohai University (CN)
National Natural Science Foundation of China, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 68%
Inertial Sensor and Navigation
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