Joint Beamforming Design for Dual-Functional Radar-Communication Systems Under Beampattern Gain Constraints

doi:10.12142/ZTECOM.202403003

ZTE Communications ›› 2024, Vol. 22 ›› Issue (3): 13-20.DOI: 10.12142/ZTECOM.202403003

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Joint Beamforming Design for Dual-Functional Radar-Communication Systems Under Beampattern Gain Constraints

CHEN Guangyi¹, ZHANG Ruoyu¹(), REN Hong¹, LIN Xu², WU Wen¹

^1.Key Laboratory of Near-Range RF Sensing ICs Microsystems, Ministry of Education, School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China
^2.School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin 150001, China

Received:2024-06-22 Online:2024-09-25 Published:2024-09-29
About author:CHEN Guangyi received his BE degree in electronic science and technology from Chongqing University of Posts and Telecommunications, China in 2021, MS degree from Nanjing University of Science and Technology, China. He is currently pursuing a PhD degree with the Department of Electronics and Communications Engineering, Nanjing University of Science and Technology. His current research interests include MIMO systems, hybrid precoding, and integrated sensing and communication.
ZHANG Ruoyu (ryzhang19@njust.edu.cn) received his BE and PhD degrees in information and communication engineering from Harbin Institute of Technology, China in 2014 and 2019, respectively. From 2017 to 2018, he was a visiting student with the Department of Electrical and Computer Engineering, The University of British Columbia, Canada. He is currently an associate professor with the School of Electronic and Optical Engineering, Nanjing University of Science and Technology, China. His research interests include integrated sensing and communication, massive MIMO, millimeter-wave communications, and sparse signal processing.
REN Hong received her bachelor's degree in electronic information engineering from Jiangsu University, China in 2022. She is currently pursuing a master's degree in the School of Electronic and Optical Engineering, Nanjing University of Science and Technology, China. Her main research focus is integrated sensing and communication beamforming.
LIN Xu received his BS degree from Harbin Institute of Technology, China in 2014, and MS degree from the China Academy of Telecommunications Technology in 2017. He is currently pursuing a PhD degree with the School of Electronics and Information Engineering, Harbin Institute of Technology. From 2019 to 2020, he was a research trainee with the Department of Electrical and Computer Engineering, McGill University, Canada. His research interests include communication signal processing, physical waveform design, transform domain communication systems, and synchronization.
WU Wen received his PhD degree in electromagnetic field and microwave technology from Southeast University, China in 1997. He is currently a professor with the School of Electronic and Optical Engineering, Nanjing University of Science and Technology, China, where he is also a director with the Key Laboratory of Near-Range RF Sensing ICs & Microsystems (NJUST), Ministry of Education of the People's Republic of China. He has authored or co-authored over 300 journal articles and conference papers, and has submitted over 30 patent applications. His current research interests include microwave and millimeter-wave theories and technologies, microwave and millimeter-wave detection, and multimode compound detection. He was a recipient of six Ministerial and Provincial-Level Science and Technology Awards.
Supported by:
the National Natural Science Foundation of China(62201266);the Natural Science Foundation of Jiangsu Province(BK20210335)

Abstract

Abstract:

The joint beamforming design challenge for dual-functional radar-communication systems is addressed in this paper. The base station in these systems is tasked with simultaneously sending shared signals for both multi-user communication and target sensing. The primary objective is to maximize the sum rate of multi-user communication, while also ensuring sufficient beampattern gain at particular angles that are of interest for sensing, all within the constraints of the transmit power budget. To tackle this complex non-convex problem, an effective algorithm that iteratively optimizes the joint beamformers is developed. This algorithm leverages the techniques of fractional programming and semidefinite relaxation to achieve its goals. The numerical results confirm the effectiveness of the proposed algorithm.

Key words: dual-functional radar-communication, joint beamforming design, beampattern gain constraints, semidefinite relaxation, fractional programming

CHEN Guangyi, ZHANG Ruoyu, REN Hong, LIN Xu, WU Wen. Joint Beamforming Design for Dual-Functional Radar-Communication Systems Under Beampattern Gain Constraints[J]. ZTE Communications, 2024, 22(3): 13-20.

Figures/Tables 8

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Joint Beamforming Design for Dual-Functional Radar-Communication Systems Under Beampattern Gain Constraints

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