Abstract: 

Radar clutter, jamming, and electromagnetic interference environments are evolving and becoming more challenging. The presence of clutter and interference is always detrimental to radar missions, which will cause information loss and pose a hindrance to target detection, tracking and recognition. Therefore, it is of great necessity to mitigate the adverse effects of clutter and interference via system design and implementation of signal processing techniques. 

This session will cover advanced techniques for detection and mitigation of clutter and interference from different levels, ranging from mission levels (swarms or distributed sensors), to a signal processing perspective (including but not limited to multi-dimensional modeling and analysis, adaptive beamforming, weak signal extraction, artificial intelligence, etc.), as well as hardware design, encompassing both ground-based, ship-based, airborne and spaceborne radar sensors.

This session will summarize the latest research efforts ongoing in this field, which enables significant improvements of radar operational performance in challenging clutter and interference scenarios.

Session Chairs: 

Prof. Mingliang Tao (Northwestern Polytechnical University, China),

Dr. Yanyang Liu (Shanghai Institute of Satellite Engineering, China)