Wide-Band Near-Field Prediction of Unknown EM Source Based on Artificial Neural Network

In this paper, we propose a wideband radiation field prediction method based on artificial neural networks. This method makes up for the shortcomings of multiple measurements of single frequency points of traditional methods. At the same time, using the learning ability of ANN, we can only predict the radiation field by scanning the near-field magnitude. In the experiment, we scanned the near-field magnitude information of the radiation source at 100 MHz, 300 MHz, and 500 MHz. After training with the neural network, we can predict the near-field radiation of 100 MHz - 500 MHz, which proves the effectiveness of this method. This is a new approach to the Electromagnetic interference (EMI) problem.