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Zi-Ming Liang

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Open access Sep 2026

Machine-Learning-Based GNSS Signal Anomaly Classification Using COSMIC-2 POD Data

Results show that, within the weak-label framework, COSMIC-2 1 Hz POD observations can support GNSS signal anomaly classification and spatiotemporal distribution analysis, providing a complementary approach for long-term anomaly analysis.

Zi-Ming Liang, Rui-Min Jin, Xiang Cui et al. · 1 citation

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