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Published on: May 1, 2018
Performance Analysis of Positioning Solution Using Low-Cost Single-Frequency U-Blox Receiver Based on Baseline Length
Liguo Lu1,2,3, Liye Ma4, Tangting Wu5
1Faculty of Geomatics, East China University of Technology, Nanchang 330013, China. lglu@ecit.cn.
The Constrained LAMBDA (CLAMBDA) method improves Global Navigation Satellite System (GNSS) ambiguity resolution success rates for low-cost GPS and BeiDou systems. This enhances positioning accuracy for both static and dynamic applications.
Area of Science:
- Satellite Navigation
- Geomatics Engineering
- Geodesy
Background:
- The satellite navigation industry is rapidly advancing, driving demand for low-cost, high-precision Global Navigation Satellite System (GNSS) positioning.
- Low-cost measuring instruments offer potential for broader GNSS applications, but data quality limitations necessitate advanced processing methods.
Purpose of the Study:
- To analyze and evaluate the ambiguity fixed-rate and positioning accuracy of single-frequency Global Positioning System (GPS) and BeiDou Navigation Satellite System (BDS) data.
- To compare the performance of the Constrained LAMBDA (CLAMBDA) method against the classical LAMBDA method using low-cost receiver data.
Main Methods:
- Utilized data from a low-cost u-blox receiver for single-frequency GPS and BDS.
- Applied the Constrained LAMBDA (CLAMBDA) method incorporating a baseline length constraint.
- Conducted experiments in static short-baseline and dynamic vehicle environments.
Main Results:
- The CLAMBDA method demonstrated a significant improvement in the success rate of GNSS ambiguity resolution compared to the classical LAMBDA method.
- Achieved baseline solution accuracy of 0.5–1 cm in static scenarios and 1–2 cm on a dynamic platform when ambiguity was correctly fixed.
Conclusions:
- The CLAMBDA method is effective in enhancing the reliability and accuracy of GNSS positioning with low-cost receivers.
- This approach offers a viable solution for improving the performance of single-frequency GPS and BDS in various application environments.
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