Transmit beampattern synthesis for MIMO radar with one-bit digital-to-analog converters

被引:8
|
作者
Wei, Tong [1 ,2 ]
Cheng, Ziyang [3 ]
Liao, Bin [1 ]
机构
[1] Shenzhen Univ, Guangdong Key Lab Intelligent Informat Proc, Shenzhen 518060, Peoples R China
[2] Univ Luxembourg, Interdisciplinary Ctr Secur, Reliabil & Trust SnT, L-1855 Luxembourg, Luxembourg
[3] Univ Elect Sci & Technol China, Sch Informat & Commun Engn, Chengdu 611731, Peoples R China
来源
SIGNAL PROCESSING | 2021年 / 188卷
基金
中国国家自然科学基金;
关键词
MIMO Radar; Beampattern synthesis; One-bit quantization; Waveform design; WAVE-FORM DESIGN; RECEIVE FILTER; OPTIMIZATION; FRAMEWORK;
D O I
10.1016/j.sigpro.2021.108228
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper considers the problem of transmit beampattern synthesis (i.e., transmit beamforming) in multiple-input multiple-output (MIMO) radar which deploys one-bit digital-to-analog converts (DACs). By appropriately designing the transmitted signal waveforms quantized by one-bit DACs, the majority of radiated energy can be focused into the mainlobe(s) region to enhance the intensity of backscattered signals from targets. Meanwhile, the amount of energy inevitably leaked into the sidelobe region is minimized to suppress the interferences. More specifically, the essence of the proposed design can be regarded as optimizing the one-bit signal waveforms such that the synthesized transmit beampattern has a minimum integrated-sidelobe-to-mainlobe ratio (ISMR). In order to tackle the nonconvex discrete constraint in the resulting optimization problem, we propose to introduce auxiliary variables to reformulate the discrete constraint into continuous constraints. On this basis, the alternating direction multiplier method (ADMM) framework is applied to deal with the reformulated problem. The proposed method can approximately solve the sub-problems with closed-form solutions in each iteration, and hence, it is computationally efficient. Simulation results indicate that the proposed method is able to provide promising performance. (c) 2021 Elsevier B.V. All rights reserved.
引用
收藏
页数:8
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