Special Session 8  会议特别专题 8

Advanced Signal Processing for Radar, Sonar, and Spectrum Sensing

Description: Radar, sonar, and spectrum sensing are three fundamental yet interconnected research areas that play critical roles in modern defense, communication, and civilian systems. Radar systems enable detection and tracking of targets in complex electromagnetic environments, sonar systems provide underwater surveillance and navigation capabilities in challenging acoustic conditions, and spectrum sensing serves as the cornerstone for cognitive radio and dynamic spectrum access in increasingly congested frequency bands. Despite their distinct application domains, these three fields share common theoretical foundations in statistical signal processing, array processing, and detection theory, offering rich opportunities for cross-disciplinary synergy and innovation.
To foster academic exchange and promote cross-fertilization among researchers in underwater acoustic signal processing, radar signal processing, and spectrum sensing, this special session aims to bring together experts, scholars, research institutions, and industry professionals from around the world. The session will focus on the latest research achievements, technical challenges, and future trends in advanced signal processing techniques applicable to radar, sonar, and spectrum sensing systems. Discussions will cover theoretical innovations, algorithm design, hardware implementation, and practical applications, providing a high-level platform for researchers across these interconnected fields.

Session organizers
Prof. Liang An, Southeast University, China
Prof. Yan Huang, Southeast University, China
Prof. Jie Li, Nanjing University of Aeronautics and Astronautics, China
Lecturer. Qixuan Zhu, Southeast University, China
Assi. Prof. Yiwei Wang, University of California, USA

The topics of interest include, but are not limited to:
▪ Underwater acoustic signal processing for sonar systems
▪ Radar signal processing for target detection and imaging
▪ Spectrum sensing and dynamic spectrum access
▪ Multi-channel and array signal processing in radar and sonar
▪ Machine learning and deep learning for signal processing in radar, sonar, and spectrum sensing
▪ Anti-interference and clutter suppression techniques
▪ Experimental validation and field trials of radar, sonar, and spectrum sensing systems

Submission method
Submit your Full Paper (no less than 5 pages with two colums) or your paper abstract-without publication (200-400 words) via Online Submission System, then choose Special Session 8 (Advanced Signal Processing for Radar, Sonar, and Spectrum Sensing)
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Introduction of Session organizers

Prof. Liang An, Southeast University, China

Liang An is a Chief Professor at Southeast University and serves as the Director of the Key Laboratory of Underwater Acoustic Signal Processing of the Ministry of Education, a doctoral supervisor, and the Deputy Chairman of the Jiangsu Provincial Acoustical Society. He has been selected into the National Major Talent Project and awarded the honor of "Distinguished Young and Middle-aged Expert with Outstanding Contributions in Nanjing". He has long been engaged in research on underwater acoustic signal interception and detection. He has undertaken and participated in more than 40 major research projects, including the National Natural Science Foundation of China and the Pre-research Field Fund. He has published over 70 papers in important international and domestic academic journals and conference proceedings, and authored 1 monograph (supported by the National Publishing Fund). He has respectively won 1 Second Class Award of the National Science and Technology Progress Award and 1 First Class Award of the Science and Technology Progress Award of the Ministry of Education.



Prof. Yan Huang, Southeast University, China

Yan Huang is a Young Chair Professor at the State Key Lab of Millimeter Waves, Southeast University. He has been selected for the National Young Talented Program and the Distinguished Young Scholars Program of Jiangsu Province. His research has a long-standing focus on intelligent radar information processing. Prof. Huang has served as the Principal Investigator for 10 national-level projects. He has delivered over 20 invited keynote or session speeches at prestigious domestic and international conferences. His accolades include the Innovative Team Award from the Chinese Institute of Electronics (CIE), the First Prize of the China Highway and Transportation Society Award, the CIE Excellent Doctoral Dissertation Award, and the International URSI Young Scientist Award.



Assoc. Prof. Jie Li, Nanjing University of Aeronautics and Astronautics, China

Jie Li, associate Professor, Ph.D., is with the Key Laboratory of Dynamic Cognitive System of Electromagnetic Spectrum Space, Ministry of industry and Information Technology, Nanjing University of Aeronautics and Astronautics (NUAA). Her research primarily focuses on intelligent radar signal processing and multi-source fusion perception. Dr. Li has served as the principal investigator or sub-project lead for six high-level national and provincial research initiatives, including the National Major Science and Technology Projects and the National Natural Science Foundation of China (NSFC) Key Projects. She has published over 40 papers in top-tier international journals and holds more than 30 invention patents. In recognition of her technical excellence, she has been awarded the First Prize of the National Defense Science and Technology Progress Award, alongside prestigious first prizes from the China Radar Industry Association and the Radio Association.


Lecturer. Qixuan Zhu, Southeast University, China

Qixuan Zhu is currently a Lecturer and a master's supervisor at Southeast University. He received his Bachelor's and Ph.D. degrees in Underwater Acoustic Engineering from Northwestern Polytechnical University in 2018 and 2024, respectively. His main research interests include underwater acoustic detection and reconnaissance. He has led sub-projects of major and key national-level research programs, and participated in National Science and Technology Major Projects as well as key projects of the National Natural Science Foundation of China (NSFC). He has published 7 academic papers in SCI-indexed journals and been granted 2 patents. He was invited to deliver a keynote talk at a sub-forum of the 17th International Conference on Signal Processing Systems (ICSPS).



Asst. Prof. Yiwei Wang, University of California, USA

Yiwei Wang is currently an Assistant Professor in the Department of Computer Science at the University of California, Merced. He received his B.S. degree in Information Engineering from Southeast University in 2017, his M.Phil. degree in Electronic and Computer Engineering from the Hong Kong University of Science and Technology in 2019, and his Ph.D. degree in Computer Science from the National University of Singapore in 2023. His research interests include signal processing, natural language processing, and multimodal large language models. He has published more than 40 papers in CCF-A ranked conferences and journals. He currently serves as an Associate Editor for IEEE Transactions on Industrial Informatics, Pattern Recognition, and Neurocomputing. He also serves as a Senior Area Chair for ACL and EMNLP, and as an Area Chair for ICML, ICLR, AAAI, NeurIPS, CVPR, and ICCV. He is a recipient of the NSF CRII award and the NVIDIA Academic Grant (2025).