Radar Target Characterization and Deep Learning in Radar Automatic Target Recognition: A Review

Radar automatic target recognition (RATR) technology is fundamental but complicated system engineering that combines sensor, target, environment, and signal processing technology, etc. It plays a significant role in improving the level capabilities of military civilian automation. Although RATR has been successfully applied some aspects, complete theoretical not established. At present, deep learning algorithms have received lot attention emerged as potential feasible solutions RATR. This paper mainly reviews related articles published between 2010 2022, which corresponds to period when methods were introduced into research. In this paper, current research status radar characteristics summarized, including motion, micro-motion, one-dimensional, two-dimensional characteristics, progress feature extraction recent years, space, air, ground, sea-surface targets, Due more results past few it hoped review can provide guidance for future application fields