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Wan-Ke Liu

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Open access Sep 2026

Towards rapid and reliable GNSS ambiguity resolution using residual-based machine learning in challenging environments

High-precision Global Navigation Satellite System (GNSS) positioning relies on the successful resolution of carrier-phase ambiguities. However, in challenging environments characterized by severe Non-Line-of-Sight (NLOS) reception and multipath effects, such as urban canyons with dense vegetation and high-rise building...

Ying Liu, Wan-Ke Liu, Xiao-Hong Zhang et al. · 0 citations

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