Data enhancement method for radio frequency fingerprint identification

The invention discloses a data enhancement method for radio frequency fingerprint identification, which comprises the following steps of: reading a section of I/Q data acquired in advance and preprocessing the I/Q data, if the I/Q data is complex baseband data, keeping the I/Q data unchanged, otherwise, converting the I/Q data into complex baseband I/Q data; performing normalization processing on the complex baseband data by using the maximum value of the complex envelope to obtain normalized complex baseband data; randomly slicing the normalized complex baseband data to generate a slice data matrix; cutting the slice data matrix into sub-slices; performing random scale scaling and phase rotation on the slice data matrix to obtain a slice matrix; superposing Gaussian white noise with different signal-to-noise ratios on the slice matrix to obtain a slice matrix subjected to random cutting, zooming and rotation and Gaussian white noise action; and according to different simulation requirements, the steps are re