Research on the Moving Magnetic Object Recognition Method Based on Magnetic Signature Waveform

To investigate the identification method of magnetic moving targets and provide theoretical explanations, a magnetic target motion model was established based on the magnetic dipole model, incorporating the target moving velocity, direction angle, and close proximity approach (CPA), and magnetic signature waveforms were obtained under different conditions. The control variable method was used to study the correlation between the magnetic signature waveforms and the target moving speed, direction angle, and CPA, as the basis for realizing the recognition of the magnetic moving target. The highly sensitive tunneling magnetoresistive (TMR) sensor was used for experiments, and the results are in agreement with simulations. The waveform width and peak value have an obvious corresponding relationship with the above three motion states, which provides an efficient method for extracting the motion state of a moving target.