Radiated Noise Source Characterization Based on Magnitude-Only Near Field

Abstract

Accurate noise source characterization is critical in increasing the accuracy of desense simulations. However, characterization of the emission sources in full-wave simulations often lacks accuracy. In this paper, a fast and accurate method to extract equivalent dipole moments of radiated noise sources is proposed. The proposed method uses the genetic algorithm to optimize the position and type of dipoles, and it also uses a back-and-forth iteration algorithm to retrieve phase based on the magnitude information of two observation planes with different heights. Compared with the traditional equivalent dipole extraction algorithms, this method can minimize the number of reconstructed dipoles and avoid the complicated and time-consuming phase measurement. This method is verified by comparing the measurement and simulation of coupled noise from an image sensor to a nearby cellular antenna.