Low-Complexity Symbol-Level Precoding for Dual-Functional Radar-Communication System

In this paper, dual-functional radar-communication system which can perform both radar and communication functionalities using the same hardware platform and spectrum resource is studied. Concretely, the mean-squared error between the designed and desired beampatterns is minimized subject to the com...

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Bibliographic Details
Published inIEEE Wireless Communications and Networking Conference : [proceedings] : WCNC pp. 234 - 239
Main Authors Yan, Jianxiang, Zheng, Jianping
Format Conference Proceeding
LanguageEnglish
Published IEEE 10.04.2022
Subjects
alternating direction method of multipliers (ADMM)
Conferences
Costs
dual-function radar-communication (DFRC)
MIMO
Minimization
Precoding
Propagation losses
Quality of service
Radar
symbol-level precoding
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Summary:In this paper, dual-functional radar-communication system which can perform both radar and communication functionalities using the same hardware platform and spectrum resource is studied. Concretely, the mean-squared error between the designed and desired beampatterns is minimized subject to the communication quality-of-service requirements and the constant-modulus constraint. To solve this resulted problem efficiently, the alternating minimization framework is presented. Specifically, in the sub-problem of transmit signal design through symbol-level precoding, the low-complexity linearized alternating direction method of multipliers algorithm is presented. Finally, computer simulations are given to demonstrate the effectiveness of the proposed method.
ISSN:1558-2612
DOI:10.1109/WCNC51071.2022.9771593