JointHRRP-Net: A Statistically Constrained Decoupling Network for Joint Target and Jamming Recognition in Composite Jamming
Researchers have developed JointHRRP-Net, a novel deep learning framework designed to improve radar automatic target recognition in challenging composite jamming environments. This network effectively separates target echoes from jamming interference within high-resolution range profiles. Experiments show JointHRRP-Net significantly outperforms existing methods in identifying both targets and jamming types, even under varying signal conditions. AI
IMPACT Introduces a new deep learning architecture for enhanced radar target recognition in complex jamming scenarios.