Scalar calibration models are robust to misalignment while vector models are first-order sensitive to attitude errors; NV vector magnetometers offer placement benefits but do not solve the attitude bottleneck for airborne vector calibration.
Random forests for detecting weak signals and extracting physical information: a case study of magnetic navigation
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Scalar and Vector Airborne Platform Calibration Using Quantum and Classical Magnetometers and Inertial Sensors
Scalar calibration models are robust to misalignment while vector models are first-order sensitive to attitude errors; NV vector magnetometers offer placement benefits but do not solve the attitude bottleneck for airborne vector calibration.