Abstract
This paper presents a novel iterative calibration algorithm for tri-axial magnetometers. The proposed algorithm estimates and compensates the effects of deterministic interference parameters using only nine distinct measurements. The simulation results confirm that the proposed method outperforms the conventional ellipsoid fitting based models in terms of both accuracy and reliability even with the presence of a moderate wideband noise. The algorithm also achieves fast convergence , which makes it suitable for real-time applications