Radar Field

Radar field research focuses on developing advanced signal processing and machine learning techniques to improve the capabilities and applications of radar systems. Current efforts concentrate on enhancing radar signal quality through methods like generative adversarial networks (GANs) for artifact removal and transformer-based architectures for interference mitigation, as well as leveraging federated learning for distributed data processing. These advancements are driving improvements in various applications, including autonomous driving, human activity recognition, and environmental monitoring, by enabling more accurate and robust radar-based perception and scene reconstruction.