This Topic focuses on nonlinear radar signal processing techniques for target detection in complicated environments. We aim to explore cutting-edge technologies and methodologies in radar signal processing under challenging conditions, including complicated moving targets, non-Gaussian and non-homogeneous clutter, and active interference. We invite experts and researchers in related fields to submit their original research and application case studies, covering but not limited to the following topics: radar characteristics analysis of complicated moving targets, non-Gaussian and non-homogeneous clutter suppression techniques, multi-domain anti-active interference techniques for cognitive radar, complicated moving target detection techniques, time-frequency representation of nonlinear radar signals, MIMO radar waveform design techniques, signal processing techniques for distributed radar, and radar target feature extraction and recognition. We encourage submissions that present novel theoretical insights, practical applications, and experimental results. Join us in advancing the field of nonlinear radar signal processing.

• Radar Characteristics Analysis of Complicated Moving Targets;
• Non-Gaussian and Non-Homogeneous Clutter Suppression Techniques;
• Multi-Domain Anti-Active Interference Techniques for Cognitive Radar;
• Complicated Moving Target Detection Techniques;
• Time-Frequency Representation of Nonlinear Radar Signals;
• MIMO Radar Waveform Design Techniques;
• Signal Processing Techniques for Distributed Radar;
• Radar Target Feature Extraction and Recognition, etc;

CHAIRMANS:

Wen-Peng Zhang, Associate Professor, College of Electronic Science and Technology, National University of Defense Technology, China（张文鹏，国防科技大学电子科学学院，副研究员）

Wen-Peng Zhang was born in Guangdong, China, in 1989. He received the B.S., M.E., and Ph.D. degrees from the National University of Defense Technology, Changsha, China, in 2012, 2014, and 2018, respectively. He is currently an Associate Professor with the College of Electronic Science, National University of Defense Technology. His research interests include nonlinear radar signal processing, time-frequency analysis, and machine learning. He has published several articles in respected journals, including IEEE Transactions on Signal Processing, IEEE Transactions on Instrumentation and Measurement, IEEE Transactions on Aerospace and Electronic Systems.

Wei Yang, Associate Professor, College of Electronic Science and Technology, National University of Defense Technology, China（杨威，国防科技大学电子科学学院，副教授）

Wei Yang was born in 1985. He received the B.E. degree from Wuhan University, Wuhan, China, in 2006, and the M.S. and Ph.D. degrees from the National University of Defense Technology, in 2008 and 2012, respectively. Currently, he is an Associate Professor with the National University of Defense Technology. His main research interests include cognitive radar target detection and recognition, cognitive radar waveform design, and radar target tracking. He has published several articles in respected journals, including IEEE Transactions on Image Processing, IEEE Transactions on Aerospace and Electronic Systems, IET Signal Processing, and Information Fusion.

Zhong-Jie Wu, Lecturer, College of Electronic Science, National University of Defense Technology, China（吴中杰，国防科技大学 电子科学学院，讲师）

Zhong-Jie Wu was born in 1991. He received the B.S. degree in electronic information engineering, the M.S. and Ph.D degrees in information and communication engineering from Harbin Institute of Technology, Harbin, China, in 2014, 2016 and 2021, respectively. Currently, he is a Lecture with College of Electronic Science National University of Defense Technology, Changsha, China. His main research interests include radar target characteristics and recognition, cognitive radar and waveform diversity. He has published several articles in respected journals, including IEEE Transactions on Geoscience and Remote sensing, IEEE Signal Processing Letters, and Journal of Radars.

The manuscript should be submitted via the submission link (http://confsys.iconf.org/submission/icsip2025), or to icsip2016@vip.163.com before the submission deadline (April 05, 2025).