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Author

Vladimir Melnic

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Open access Sep 2026

Machine Learning-Based GNSS Positioning Error Compensation for Static Receivers

The findings support the proof-of-concept feasibility of lightweight FNN-based correction for simulated static GNSS positioning, and will focus on validation using real GNSS measurements and extension to dynamic positioning applications.

Viorel Cărbune, Maria Gutu, I. Cojuhari et al. · 0 citations

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