Estimation of Gravity Gradients Using Deep Learning for Efficient Positioning with a Quantum Sensor
A paper presenting a deep learning surrogate model to predict vertical gravity gradients from anomaly samples, speeding up map-matching algorithms inside particle filters.
Venue: MDPI Engineering Proceedings (ENC 2025)
Authors: Daniel J. Chadwick, Michael Wright, Kirsty McKay, Grant MacLean, Jason F. Ralph