Special Session: Advanced Waveform Design and Radar Signal Processing Technology
With the continuous advancement of hardware architectures and signal processing algorithms, modern radar systems have achieved highly flexible waveform control capabilities. In this context, waveform diverse array technology, as an emerging frontier that deeply integrates waveform design concepts with advanced array systems, is attracting widespread research attention. This technology enhances the system’s ability to perceive and extract multi-dimensional information from target through modulation of waveforms in the time, frequency, or spatial domains at the transmitter. It offers a promising way to overcome performance limitations of conventional radar/sonar systems in complex operational scenarios. Among various implementations, Frequency Diverse Array (FDA) has emerged as a key research focus. By introducing frequency offsets across array elements, FDA can form a range/time-angle dependent transmit beampattern. Combined with flexible signal processing approaches at the receiver, it enables joint sensing and utilization of spatial-temporal-range information of targets. This technology demonstrates significant potential in applications such as anti-jammer, clutter suppression, high-resolution imaging, et al, positioning itself as a critical technique for future multi-function, and intelligent sensing systems.
This special section focuses on advanced waveform design and its applications in radar signal processing areas, including but not limited to the following topics.
Related topics:
Important Dates:
Submission Deadline: April 25, 2026
Notification: May 25, 2026
Registration: June 10, 2026
Submit Method:
1, submit it via the link: http://www.easychair.org/conferences/?conf=icicsp2026 (after entering the link, click on the corresponding topic)
2, send your manuscript to icicsp@vip.163.com with subject "Submit+Special Session-16+Paper Title". (请通过邮件发送稿件，邮件题目：Submit+Special Session-16+Paper Title)
CHAIRMANS:
Yanhong Xu received the B.S. degree in electronic engineering and the Ph.D. degree in electromagnetic field and microwave technology from Xidian University, Xi’an, China, in 2012 and 2017, respectively. From 2018 to 2020, she was a Postdoctoral Fellow with the State Key Laboratory of Terahertz and Millimeter Waves, City University of Hong Kong, Kowloon Tong, Hong Kong. From 2019 to 2024, she was an Associate Professor with Xi’an University of Science and Technology. She was elected as the Head of the Department of Communication Engineering since 2023. Since 2025, she has selected as the Professor in the same institute. Her research interests include array antenna theory and technology, low-sidelobe pattern synthesis, array beamforming, wideband antenna design, and millimeter-wave antenna technology.
Keyi Wang received the Ph.D. degree in Information and Communication Engineering from Xidian University, Xi’an, China, in 2025. She is currently a lecturer with the School of Physics and Information Technology, Shaanxi Normal University. Her research interests include frequency diverse array radar, integrated detection and imaging, space-time adaptive processing, and synthetic aperture radar. She has published over 10 papers as the first author in journals such as IEEE TGRS and TAES. She serves as the reviewer for several journals such as IEEE TAES, TGRS, and TVT.
Mengdi Zhang received the Ph.D. degree in Information and Communication Engineering from Xidian University, Xi'an, China, in 2021. She is currently a Lecturer and Master's Supervisor with the School of Information and Control Engineering, China University of Mining and Technology. Her main research interests include waveform diverse array radar, synthetic aperture radar (SAR), space-time adaptive processing (STAP), and radar waveform design and optimization. She has led and participated in several research projects funded by the National Natural Science Foundation of China and has authored or co-authored over 20 academic papers. She serves as a reviewer for several prestigious journals, including IEEE Transactions on Signal Processing, IEEE Transactions on Geoscience and Remote Sensing, and IEEE Transactions on Aerospace and Electronic Systems.
Wu Zhixia, Ph.D. in Engineering, Lecturer at the College of Information Engineering, Inner Mongolia University of Technology, and member of the Inner Mongolia Autonomous Region Key Laboratory of Radar Technology and Applications. She received her Ph.D. degree in Information and Communication Engineering from Xidian University in 2024. Her main research interests include waveform diversity array radar signal processing, electronic countermeasure techniques, and sparse array signal processing. She has published over 10 indexed papers. She serves as a reviewer for journals such as “IEEE TAES" and "Signal Processing".