Magnetic fingerprint feature analysis method and metal substance active detection method

The invention relates to the technical field of magnetic signal measurement, in particular to a magnetic fingerprint feature analysis method and a metal substance active detection method, and the analysis method comprises the following steps: a data preprocessing step: obtaining a detection signal collected by an active magnetic detection type magnetic sensor, the detection signal comprises an excitation magnetic field signal, a magnetization field signal, an electromagnetic interference signal and a random noise signal, screening out an induced magnetic field signal with the same frequency as the excitation magnetic field signal through a Hanning window, and combining and analyzing the induced magnetic field signal and an excitation magnetic field; a root-mean-square processing step: performing root-mean-square analysis on N-point sampling data of the detection signal, and calculating the root-mean-square of the detection signal in a complete period to obtain a root-mean-square analysis signal; and a wavelet