Special Session: Waveform Diverse Array and Its Applications (Array processing technology and its applications)

Waveform agility is applied to enhance the adaptivity of the electronic system in a complex environment.  Waveform agility finds the sensor array and thus becomes a promising research topic, i.e., waveform diverse array.  The waveform diverse array contains modulation among time, frequency, space, and their joint dimension.  The Frequency diverse array is a paradigm of the waveform diverse array.  The corresponding applications involves anti-jammer, clutter suppression, high-resolution imaging and so on.  Artificial intelligence even boosts the applications, including the intelligent waveform diverse array, environment sensing, target imaging and recognition, electromagnetic war, et. al.  Since the feedback is introduced for the overall loop, deep learning signal processing becomes an increasing hot topic in recent years.  With the fast-development of equipment and technology, the modern array signal processing intelligence is not far beyond.  This special section focuses on waveform diverse array and its applications in general areas, including but not limited to the following topics.

Submission Deadline: August 05, 2024
Notification: August 20, 2024
Registration: August 30, 2024
Submit Method:
1, submit it via the link: http://confsys.iconf.org/submission/icicsp2024 (after entering the link, click on the corresponding topic)
2, send your manuscript to icicsp@vip.163.com with subject "Submit+Special Session-2+Paper Title". (请通过邮件发送稿件,邮件题目:Submit+Special Session-2+Paper Title)


Jingwei Xu (M’15) was born in Shandong province, China. He received the B.S. degree in electronic engineering, and the Ph.D. degree in signal and information processing, both from Xidian University, China, in 2010 and 2015, respectively. He is currently an Associated Professor at School of Electronic Engineering, Xidian University. From 2015 to 2017, he was a lecturer at National Lab of Radar Signal Processing in Xidian University. From 2017 to 2019, he was a Postdoctoral Fellow under “Hong Kong Scholar Program” at the City University of Hong Kong. His research interests include radar system modeling, multi-sensor array signal processing, space-time adaptive processing, multiple-input multiple-output radar, and waveform diverse array radar. He received the prize for excellent Ph.D. degree dissertation of the Chinese Institute of Electronics in 2017. He won the Young Outstanding Talents of Shanxi Province in 2020.

Weize Sun was born in Guangdong, China. He received the B.Sc. degree in electronic information science and technology from Sun Yat-Sen University, Guangdong, China, in 2009 and the Ph.D. degree from The City University of Hong Kong in electronic engineering in 2013. Since 2015, he has been with the College of Electronic and Information Engineering, Shenzhen University, where he is currently an Assistant Professor. His research interests include statistical signal processing, matrix and tensor decomposition methods, deep neural network compression and their applications.

Long Chen was born in Rizhao, Shandong, China in 1988. He received the B.Sc. degree in vehicle engineering from South China University of Technology (SCUT), Guangdong, China, in 2011, and the M.Sc. and Ph.D. degree in mechanical engineering from The Hong Kong Polytechnic University, Hong Kong, China, in 2015 and 2020. From 2020 to 2022, he was a postdoctoral researcher with the College of Electronic and Information Engineering, Shenzhen University. Since October 2022, he has been with the School of Mechanical Engineering, Northwestern Polytechnical University, where he is currently an Associate Professor. His research interests include beamforming-based sound source localization and their applications on service robot and nondestructive testing.

(1) Sensor Array Signal Processing
(2) Multiple-Dimensional Signal Processing
(3) Speech signal processing (4) Intelligent/Cognitive Algorithms
(5) Detection, Estimation, Tracking
(6) Distributed Sensors
(7) Waveform Diverse Array
(8) Frequency Diverse Array
(9) Multiple-input Multiple-output
(10) Clutter Suppression