Antenna Selection Method for Distributed Dual-function Radar Communication in MIMO System

ZHAO Haitao; DING Zhongzheng; WANG Qin; XIA Wenchao; Bo XU; ZHU Hongbo

doi:10.23919/cje.2023.00.270

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Haitao ZHAO, Zhongzheng DING, Qin WANG, et al., “Antenna Selection Method for Distributed Dual-function Radar Communication in MIMO System,” Chinese Journal of Electronics, vol. 34, no. 1, pp. 1–11, 2025 doi: 10.23919/cje.2023.00.270

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Haitao ZHAO, Zhongzheng DING, Qin WANG, et al., “Antenna Selection Method for Distributed Dual-function Radar Communication in MIMO System,” Chinese Journal of Electronics, vol. 34, no. 1, pp. 1–11, 2025 doi: 10.23919/cje.2023.00.270

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Antenna Selection Method for Distributed Dual-function Radar Communication in MIMO System

doi: 10.23919/cje.2023.00.270

ZHAO Haitao^{1, 2
,},
DING Zhongzheng^{1, 2
,},
WANG Qin^{1, 2
,
,},
XIA Wenchao^{1, 2
,},
Bo XU^{1, 2
,},
ZHU Hongbo^{1, 2
,}

1.
College of Communication and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, China
2.
Jiangsu Key Laboratory of Wireless Communications, Nanjing University of Posts and Telecommunications, Nanjing 210003, China

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Author Bio:
Haitao ZHAO (Senior Member, IEEE) received the M.S. degree and Ph.D. degree (with Hons.) in signal and information processing from the Nanjing University of Posts and Telecommunications, Nanjing, China, in 2008 and 2011, respectively. He is currently a Professor with the Nanjing University of Posts and Telecommunications. His current research interests include wireless multimedia modeling, capacity prediction, and wireless network coding. (Email: zhaoht@njupt.edu.cn)

Zhongzheng DING is studying for a master's degree in Nanjing University of Posts and Telecommunications, china. His research interests include wireless communications, mobile communications, and joint communication sensing. (Email: zhongzheng0721@163.com)

Qin WANG (Senior Member, IEEE) received her Ph.D. degree in Communication and Information System from NJUPT in 2016. She is currently an Associate Professor at Nanjing University of Posts and Telecommunications (NJUPT), China. Prior to joining NJUPT, she was with the College of Engineering and Computing Sciences, New York Institute of Technology (NYIT) between Feb. 2017 and Aug. 2020. From July 2018 to June 2020, she was a Postdoctoral Research Fellow with the Electronic Science and Technology at NJUPT. From 2015 to 2016, she was a visiting scholar with the Department of Computer Science, San Diego State University, USA. Her research interests include multimedia communications, smart data pricing, resource allocation in 5G/6G, and Internet of Things. (Email:wangqin@njupt.edu.cn)

Wenchao XIA (Member, IEEE) received the B.S. degree in communication engineering and the Ph.D. degree in communication and information systems from the Nanjing University of Posts and Telecommunications, Nanjing, China, in 2014 and 2019, respectively. From 2019 to 2020, he was a PostDoctoral Research Fellow with the Singapore University of Technology and Design, Singapore. He is currently with the faculty of the Jiangsu Key Laboratory of Wireless Communications, College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications. His research interests include cloud/edge computing and artificial intelligence. He was a recipient of the Best Paper Award at the 2016 IEEE Global Communications Conference (GLOBECOM), Washington, DC, USA. (Email: xiawenchao@njupt.edu.cn)

XU Bo (Member, IEEE) received his B.S. degree in communication engineering and Ph.D. degree in communication and information systems from Nanjing University of Posts and Telecommunications in 2018 and 2022. He is currently with the faculty of the Jiangsu Key Laboratory of Wireless Communications, College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications. His research interests include mobile edge computing, big data, and distributed learning. (Email: xubo@njupt.edu.cn)

Hongbo ZHU (Member, IEEE) received the B.S. degree in communications engineering from the Nanjing University of Posts and Telecommunications (NJUPT), Nanjing, China, in 1982, and the Ph.D. degree in information and communications engineering from the Beijing University of Posts and Telecommunications, Beijing, China, in 1996. He is currently a Professor and the Vice President with NJUPT. He is also the Head of the Coordination Innovative Center of IoT Technology and Application, Jiangsu Province, China, which is the first Governmental Authorized Coordination Innovative Center of IoT in China. He is also the Referee or Expert with multiple national organizations and committees. He has authored and co-authored more than 300 technical papers published in various journals and conferences. His research interests include Internet of Things, mobile communications and wireless communication theory. He is currently leading a big research group and multiple funds on IoT and wireless communications with current focus on architecture and enabling technologies for Internet of Things. (Email: zhuhb@njupt.edu.cn)
Corresponding author: Email: wangqin@njupt.edu.cn
Received Date: 2023-08-03
Accepted Date: 2024-03-11

Available Online: 2024-04-26

Abstract

Abstract

Distributed dual-function radar systems are an emerging trend in next-generation wireless systems, offering the possibility of improved parameter estimation for target localization as well as improved communication performance. With sufficient resource allocation, the achievable minimum estimated mean square error (MSE) and maximum total communication rate of localization may exceed the intended performance metrics of the system, which may consume an excessive number of antennas as well as antenna costs. In order to avoid resource wastage, this paper proposes a distributed dual-function radar communication (DFRC) MIMO system capable of performing radar and communication tasks simultaneously. The distributed system achieves the desired MSE performance metrics and communication performance metrics by efficiently selecting a subset of antennas, and minimizing the number of transmitting antennas and receiving antennas used in the system as well as the cost. In this paper, the problem is modeled as a Knapsack Problem (KP) where the objective is to obtain the maximal MSE performance and the maximal total communication rate performance at the lowest cost, for which we design a heuristic antenna selection algorithm. The designed algorithm is effective in reducing the time complexity as well as reducing the cost of antenna and minimizing the number of antennas required.
- Distributed radar,
- dual-function communication radar,
- Cramer-Rao bound (CRB),
- MIMO system,
- knapsack problem

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References(37)

References

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