Application Research of Euler Deconvolution-Based Magnetic Object Localization Algorithm in Luggage Positioning Systems

This paper designs a luggage positioning system based on magnetic field localization. The system utilizes a magnetic gradient tensor sensor to capture the magnetic field gradient generated by magnetic objects inside the luggage. Highprecision positioning is achieved through the implementation of the Euler deconvolution algorithm. The system is capable of realtime acquisition and processing of the luggage's spatial position information, ensuring stable localization in complex environments, especially in scenarios with strong signal interference or environmental complexity, where it demonstrates high robustness. Simulation results show that despite the presence of noise interference, the system maintains accurate positioning. This research innovatively applies the Euler deconvolution localization algorithm to luggage positioning scenarios, offering a promising approach to addressing some of the challenges associated with magnetic object localization in practical applications.