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

• Published in: IEEE Wireless Communications and Networking Conference : [proceedings] : WCNC pp. 234 - 239
• Main Authors: Yan, Jianxiang, Zheng, Jianping
• Format: Conference Proceeding
• Language: English
• 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
• DOI: 10.1109/WCNC51071.2022.9771593

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.