Radar systems with anti-jamming capability have become extremely important in the complex electromagnetic environment. In this paper, an anti-jamming strategy generation method based on deep Q-network (DQN) is proposed for slope-varying linear frequency modulation (SV-LFM) signals. First, the radar-jammer confrontation scenario is modeled as a Markov decision process. Subsequently, a reward functi...Show More
Aiming at the non-linear, multi-stage and high dimension characteristics of the plasticizing and molding process of single-based gun propellant, a quality prediction method based on GG-KECA-RVM multi-stage model fusion is proposed. The method is based on Gath-Geva dynamic fuzzy clustering to identify the stages of the plasticizing and molding process. KECA is introduced for deep feature extraction...Show More
