Transmit Sparse Array Beamformer Design for Dual-Function Radar Communication Systems

• Published in: 2023 IEEE International Radar Conference (RADAR) pp. 1 - 6
• Main Authors: Huang, Jiayi, Zhang, Xuan, Wang, Xiangrong, Zoubir, Abdelhak M.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 06.11.2023
• Subjects: ADMM framework; beamformer; Dual-function radar communication; Hardware; Mutual coupling; Phase modulation; Radar; Radar antennas; Reliability; Simulation; sparse array
• DOI: 10.1109/RADAR54928.2023.10371099

Sparse arrays could achieve curtailed mutual coupling and reduced hardware cost while preserving an intact large array aperture, which is conducive to the joint design of radar and communication. In this paper, transmit sparse array beam former design for dual-function radar communication (DFRC) systems is discussed. We propose an integrated model that takes both radar transmit beam-forming for power concentration and array sparsity into account. Meanwhile, communication is realized by embedding information into beampattern via amplitude modulation (AM) and phase modulation (PM). Different from our previous work, one common sparse array with different beam-formers is designed for the constellation of all communication symbols. To solve this problem, we decompose the non-convex optimization problem subject to multiple constraints into two subproblems within the ADMM framework, and the subproblems are tackled via another ADMM iteration and sequential convex relaxation, respectively. Simulation results demonstrate that the proposed sparse array can obtain a lower sidelobe level using fewer antennas compared to that of uniformly-spaced array. More importantly, the dual functions of radar and communication are concurrently achieved with good performance.