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An Improved Ambiguity Resolution Algorithm for Smartphone RTK Positioning

delete2023-06-02
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OA
AI
Y
Yang Jiang *
高余婷 cover
高余婷 (Yuting Gao)
W
Wei Ding
刘飞 (Fei Liu)
高阳 (Yang Gao)
DOI:10.3390/s23115292delete
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Abstract

Abstract

En 中文
Ambiguity resolution based on smartphone GNSS measurements can enable various potential applications that currently remain difficult due to ambiguity biases, especially under kinematic conditions. This study proposes an improved ambiguity resolution algorithm, which uses the search-and-shrink procedure coupled with the methods of the multi-epoch double-differenced residual test and the ambiguity majority tests for candidate vectors and ambiguities. By performing a static experiment with Xiaomi Mi 8, the AR efficiency of the proposed method is evaluated. Furthermore, a kinematic test with Google Pixel 5 verifies the effectiveness of the proposed method with improved positioning performance. In conclusion, centimeter-level smartphone positioning accuracy is achieved in both experiments, which is greatly improved compared with the float and traditional AR solutions.
Keywords:
smartphone positioning
real-time kinematic (RTK)
ambiguity resolution (AR)
global navigation satellite system (GNSS)
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Sensors cover
Sensors
IF:
3.5
Papers:
7.1W
Citations:
20.9W

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U
University of Calgary
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xi'an university of science & technology
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liaoning technical university
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