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SPS Webinar: Wideband Near-Field Integrated Sensing and Communication with Sparse Transceiver Design

Nov

11

Join Us Online - Webinar image

Date: 11-November-2026
Time: 7:30 AM ET (New York Time)
Presenter: Dr. Weitong Zhai

Based on the IEEE Xplore® article under the same title 
Published IEEE Journal of Selected Topics in Signal Processing, May 2024.

Download article: Original article will be made publicly available for download on the day of the webinar for 48 hours. ARTICLE LINK


About this topic:

With the deployment of extremely large-scale array operating at the high frequency bands in future wireless systems, integrated sensing and communication (ISAC) is expected to function in the electromagnetic near-field region with a potential distance of hundreds of meters. Also, a wide signal bandwidth is employed to benefit both communication capacity and sensing resolution. However, most existing works assume a far-field narrowband model, which has prohibited their practical applications in future ISAC systems.

In this webinar, the presenter will propose a near-field wideband ISAC framework for concurrent multi-user downlink communications and multi-target localization. In particular, the expression of Cramer Rao Bound of direction-of-arrival and distance estimations for sensing multiple wideband sources is derived, which is minimized subject to the guaranteed communication quality of service (QoS) for each user. Based on the proposed ISAC framework, sparse transceiver array and the precoding matrix are jointly optimized to reduce mutual coupling and system overhead. The problem is relaxed to a convex optimization and solved iteratively. Simulation results demonstrate that the proposed wideband near-field ISAC framework can well support both modalities and that the sparse transceiver improves the sensing accuracy without sacrificing the communication performance.


About the presenter:


Dr. Weitong Zhai

Weitong Zhai received the B.S. and M.S. degrees in electrical engineering from Beihang University, Beijing, China, and the Ph.D. degree in signal and information processing from the School of Electronic and Information Engineering, Beihang University in 2019, 2022 and 2025, respectively, 

He is currently a Postdoctoral Research Fellow with the College of Design and Engineering, National University of Singapore, Singapore. His research interests include array signal processing, sparse array design and beamforming, movable and reconfigurable antenna systems, and integrated sensing and communications. 

Dr. Zhai received the Best Paper Award at the 2024 IEEE International Conference on Signal, Information and Data Processing (ICSIDP) and was a finalist for the Student Paper Award at the 2021 IEEE Radar Conference (RadarConf). His work has been published in venues including TSP, TAES, JSTSP, TWC, Science China Information Sciences, and SPM.