Simultaneous End User Calibration of Multiple Magnetic Inertial Measurement Units With Associated Uncertainty

A fast method to simultaneously calibrate multiple MEMS Magnetic Inertial Measurement Units (MIMUs) accurately in the field is needed many application areas. The MIMUs require calibration of systematic errors bias, sensitivity, non-orthogonality and misalignment, which vary with temperature use. Even after calibration, sensors undergo stochastic static dynamic conditions thus uncertainty output must also be modeled. We propose a for easy together, while mounted on single platform. precise alignment not assumed. Our calibrates both fixed array or independent using kinematic constraints. novelty our approach that learned as part model. Compared existing state-of-art methods, algorithm gives more consistent readings all framework predicts associated sensor output. prediction individual particularly helpful fusion.