Chairs: Prof. Yachao Li (Xidian University), Prof. Pingping Huang (Inner Mongolia University of Technology), Prof. Lei Zhang (Sun Yat-sen University),Prof. Piotr Samczynski （Warsaw University of Technology Institute of Electronic Systems）

The Radar imaging has been widely applied in military and civilian fileds. However, with the development of advanced anti-jamming technology, radar imaging faces the challenge of high-resolution imaging in complex electromagnetic confrontation environment. In recent years, more scholars pay their attention to the research of radar imaging jamming and anti-jamming. This session covers latest research results in anti-jamming methods based on radar waveform design, machine learning, distributed platform collaboration etc., including but not limited to

l  Radar waveform design for anti-jamming radar imaging

l  Machine/deep learning for anti-jamming

l  Multi-domain and multi-channel signal processing for anti-jamming

l  Distributed collaboration technology for jamming or anti-jamming

l  Space-time adaptive techniques for wideband anti-jamming

l  Waveform coding optimization for anti-jamming

l  Non-match filtering optimization for anti-jamming

l  Sparse signal reconstruction and compressive sensing for anti-jamming

l  Unfolded and Interpretable neural network for anti-jamming

l  Other advanced signal processing techniques for anti-jamming