arXiv · 1805.06198
Navigation-compatible hybrid quantum accelerometer using a Kalman filter
Abstract
Long-term inertial navigation is currently limited by the bias drifts of gyroscopes and accelerometers and ultra-stable cold-atom interferometers offer a promising alternative for the next generation of high-end navigation systems. Here, we present an experimental setup and an algorithm hybridizing a stable matter-wave interferometer with a classical accelerometer. We use correlations between the quantum and classical devices to track the bias drift of the latter and form a hybrid sensor. We apply the Kalman filter formalism to obtain an optimal estimate of the bias and simulate experimentally a harsh environment representative of that encountered in mobile sensing applications. We show that our method is more precise and robust than traditional sine-fitting methods. The resulting sensor exhibits a 400 Hz bandwidth and reaches a stability of 10 ng after 11 h of integration.
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Pierrick Cheiney, Lauriane Fouché, Simon Templier, Fabien Napolitano, Baptiste Battelier, Philippe Bouyer, Brynle Barrett. 2018-05-16. Navigation-compatible hybrid quantum accelerometer using a Kalman filter. https://doi.org/10.1103/physrevapplied.10.034030
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