Electromagnetic compatibility management and control method prediction method based on machine learning

The invention discloses an electromagnetic compatibility management and control method prediction method based on machine learning. The method comprises the following steps: 1) collecting three-dimensional coordinates, transceiving frequency, transmitting power, transceiving gain, elevation angle range and azimuth angle range of electronic equipment; 2) traversing all the devices, and forming an interference pair by two devices with overlapped receiving and transmitting frequencies and possible adjacent channel interference; 3) for equipment interference pairs, establishing interference pair feature vectors; 4) establishing a management and control method set; 5) establishing a control method prediction model; 6) obtaining electromagnetic parameters of unknown equipment, firstly calculating interference pairs according to the electromagnetic parameters, if an interference condition exists, inputting the feature vectors of the interference pairs of the unknown equipment into the classifier of each management a