Electromagnetic Analysis and Micro-motion Parameters Extraction of Moving Targets

Abstract

We propose an effective domain decomposition method with spherical equivalence surface for the electromagnetic modeling of moving targets from near coupling to far coupling region. Both efficiency and computation accuracy are enhanced highly. With the simulated far fields, we employ the deep learning to extract the micro-motion parameters corresponding to different time-frequency distribution images accurately. The experiment confirms the validity of the proposed method for modeling and extracting the micro-motion parameters of moving targets.