Prediction of IC Equivalent Magnetic Dipoles Using Deep Convolutional Neural Network

The equivalent dipole model based on near electromagnetic field scanning can be used for electromagnetic interference sources reconstruction without considering the specific circuit structure. This paper presents a new method for predicting the equivalent magnetic dipole by deep convolutional neural network for simulation of IC electromagnetic radiation. The numerical testing results demonstrate that the equivalent magnetic dipole array predicted by CNN can produce the original radiation field effectively.