INTERFERENCE SOURCE PREDICTION MODEL GENERATION METHOD, INTERFERENCE SOURCE RECOGNITION METHOD, DEVICE, AND TERMINAL DEVICE

摘要

To provide an interference source prediction model generation method, interference source recognition method, device, and system.SOLUTION: An interference source prediction model generation method includes: performing energy detection sampling on each test window of a plurality of test windows under a preset plurality of interference scenarios, the energy detection sampling being performed on the test window at a predetermined sampling rate, to acquire a sample data set in each test window; attaching a label to each test window on the basis of a test period to which the test window belongs, a time stamp of a sample in a sample data set in the test window, and/or data detected and measured in the test window by a radio network probe; and training a deep neural network on the basis of a sample data set of each test window and a label corresponding to the test window to acquire a parameter of an interference source prediction model.SELECTED DRAWING: Figure 2