The invention relates to the technical field of radio-frequency
signal processing, and discloses a 5G radio-frequency
signal amplification method and
system, and the method comprises the steps: decomposing an obtained radio-frequency
signal into a high-frequency sub-band and a low-frequency sub-band through a multilayer
wavelet packet, judging whether the radio-frequency signal is sparse in a
wavelet packet domain, and carrying out the sparse reconstruction of an LI
norm minimization problem if the radio-frequency signal is sparse; obtaining
feature data of each sub-band, extracting a
nonlinear transfer function of each sub-band through a CNN-GRU network, and carrying out transfer learning pre-training and dynamic
adaptation updating; on the basis of dynamic
adaptation update ending, layered
memory polynomial calculation and
layered model joint output construction,
layered model parameter optimization is converted into a least square problem to obtain an error compensation function, and
resource allocation is dynamically adjusted according to the peak-to-average
power ratio of an input signal; and based on power
amplifier state data, holographic sensing is performed on
nonlinear parameters of the device through a fusion model, and dynamic changes of the device are compensated through multi-stage calibration and calibration
delay is controlled.