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An improved multipath mitigation method using central hemispherical cell in precise point positioning
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DOI：10.1016/j.asr.2024.11.048.png)
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Abstract
En 中文
Multipath errors can significantly impact the performance of precise point positioning (PPP). Previous studies popularly leverage the spatial repeatability of satellite orbits for multipath mitigation. The multipath hemispherical map (MHM) is a widely used discrete grid- based model. Besides, various refined methods such as multipath stacking (MPS) and trend-surface analysis (T-MHM) have been proposed to enhance the performance of the discrete grid-based model. This paper proposed an improved discrete grid-based model named multipath central grid (MCG) aimed at further utilizing the spatial correlation of multipath errors. Specifically, the modified method uses distance weighting to calculate the multipath correction of the target satellite adaptively. This paper systematically demonstrated the feasibility of the MCG for PPP. Simultaneously, some typical discrete grid-based models are tested for comparison. Tests were conducted for kinematic and static PPP using observations from two reservoirs with different observation environments. The results indicate differences between these refined models. Furthermore, both models can enhance performance, and the refined models T-MHM and MCG outperform the original MHM. In addition, the high-resolution congruent MCG model is recommended as one that can provide more robust results. (c) 2024 COSPAR. Published by Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies.
Keywords:
Multipath mitigation
Hemispherical map
Adaptive central cell
Precise point positioning
GNSS
Journal
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2.8
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1.3K
Citations:
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