Dr. Yimin Zhang

Spectrum sharing enables multiple categories of users to utilize the same frequency bands and is becoming increasingly important in addressing the growing congestion of spectral resources. Among different solutions, joint radar-communication (JRC) is a promising solution which integrates both radar sensing and wireless communication functions within shared platforms and frequency bands. In this talk, we
first discuss signaling strategies in radar-centric JRC systems, focusing on the optimized design of adaptive beamformers and signal waveforms to embed digital communication data in radar functions. We then further explore in several directions, including effective information embedding using quadrature amplitude modulation (QAM) waveforms, antenna selection for complexity reduction, and resource optimization in distributed JRC systems. Additionally, we highlight recent advancements in JRC systems, such as reconfigurable intelligent surface (RIS)-aided JRC systems and reconfigurable beamforming for JRC leveraging deep learning techniques.

Biography:

Dr. Yimin D. Zhang is an Associate Professor at the Department of Electrical and Computer Engineering, Temple University, Philadelphia, PA. He received his B.Sc. degree from Xidian University, China, and his Ph.D. degree from University of Tsukuba, Japan. His research interests lie in the areas of statistical signal and array processing, machine learning, compressive sensing, information theory, convex optimization, and time-frequency analysis with applications to radar sensing, wireless communications, and satellite navigation.

Dr. Zhang is a Senior Area Editor for IEEE Transactions on Signal Processing and an Associate Editor for Signal Processing. He serves as a member of the Signal Processing Theory and Methods (SPTM) Technical Committee and a member of the Integrated Sensing and Communication (ISAC) Working Group of the IEEE Signal Processing Society, and a member of the ISAC Emerging Technology Initiative
of the IEEE Communication Society. He received the 2017 IEEE Aerospace and Electronic Systems Society Harry Rowe Mimno Award for article “Signaling strategies for dual-function radar communications: An overview” published in IEEE Aerospace and Electronic Systems Magazine. His
publications also received the 2016 IET Radar, Sonar and Navigation Premium Award, the 2018 and 2021 IEEE Signal Processing Society Young Author Best Paper Awards, the 2019 IET Communications Premium Award, and the 2021 EURASIP Best Paper Award for Signal Processing. He is a fellow of IEEE, a fellow of SPIE, and a Distinguisher Lecturer of the IEEE Signal Processing Society.