Scalar and Vector Airborne Platform Calibration Using Quantum and Classical Magnetometers and Inertial Sensors
Antonia Hager, Torleiv H. Bryne, Mia Juki\'c

TL;DR
This paper analyzes the calibration of airborne magnetometers using quantum and classical sensors, highlighting the robustness of scalar models and the sensitivity of vector models to attitude errors, with implications for sensor configurations.
Contribution
It provides a theoretical and simulation-based evaluation of quantum and classical magnetometer configurations for airborne calibration, emphasizing the limitations of vector calibration models.
Findings
Scalar calibration models are robust to misalignment.
Vector calibration models are sensitive to attitude errors.
Quantum vector magnetometers alone cannot resolve the attitude calibration bottleneck.
Abstract
Airborne magnetometry requires rigorous calibration to isolate geomagnetic signals from sensor errors and platform magnetic fields. This magnetic compensation is needed for applications like geophysical exploration and magnetic anomaly navigation. The standard approach utilizes a quantum scalar Optically Pumped Magnetometer (OPM) and a less sensitive fluxgate vector sensor for attitude information. This configuration typically results in a scalar approximation of the platform field. Advancements in high-sensitivity Diamond Nitrogen-Vacancy (NV) vector magnetometers now enable a re-evaluation of the standard hardware configuration and full vector calibration models. We show through rigorous theoretical analysis that scalar calibration models are robust to misalignment. Vector calibration models, however, are intrinsically first-order sensitive to attitude errors, irrespective of the…
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