Low-Complexity Joint Transmit and Receive Beamforming for MIMO Radar With Multi-Targets

被引:17
|
作者
Zhou, Junwei [1 ,2 ]
Li, Hongbin [2 ]
Cui, Wei [1 ]
机构
[1] Beijing Inst Technol, Sch Informat & Elect, Beijing 100081, Peoples R China
[2] Stevens Inst Technol, Dept Elect & Comp Engn, Hoboken, NJ 07030 USA
关键词
Interference; Signal to noise ratio; Array signal processing; Iterative methods; Complexity theory; MIMO communication; Optimization; Multiple-input multiple-output (MIMO); joint transmit and receive beamforming; multiple targets; semidefinite relaxation; WAVE-FORM DESIGN; FILTER DESIGN; OPTIMIZATION; SIGNAL;
D O I
10.1109/LSP.2020.3015104
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
We consider the joint design of transmit and receive beamforming for multiple-input multiple-output (MIMO) systems in the presence of multiple targets and interferences. The objective is to maximize the minimum receiver output signal-to-interference-plus-noise-ratio (SINR) of the targets with constraints on the total and, respectively, per-antenna transmission power. The problem can be solved by an iterative bisection search (IBS) based method, which is, however, computationally intensive since it requires solving a feasibility problem multiple times for each update of the transmit beamformer. We propose a new method that bypasses the iterative feasibility checking by employing an SINR approximation. An analytical proof, which ensures the convergence of the proposed method, is provided. Numerical results show that the proposed method attains a similar SINR performance as the IBS based method but at a significantly lower computational complexity.
引用
收藏
页码:1410 / 1414
页数:5
相关论文
共 50 条
  • [21] Joint Transmit Waveform and Receive Filter Design for Dual-Function Radar-Communication Systems
    Tsinos, Christos G.
    Arora, Aakash
    Chatzinotas, Symeon
    Ottersten, Bjorn
    IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING, 2021, 15 (06) : 1378 - 1392
  • [22] Joint Transmit and Receive Beamforming for Hybrid Active-Passive Radar
    Gao, Yongchan
    Li, Hongbin
    Himed, Braham
    IEEE SIGNAL PROCESSING LETTERS, 2017, 24 (06) : 779 - 783
  • [23] Joint Optimization of Transmit Waveform and Receive Filter for Target Detection in MIMO Radar
    Zheng, Hao
    Jiu, Bo
    Liu, Hongwei
    IEEE ACCESS, 2019, 7 : 184923 - 184939
  • [24] Low-Complexity Beamforming Optimization for IRS-Aided MU-MIMO Wireless Systems
    Moon, Seungsik
    Lee, Hyeongtaek
    Choi, Junil
    Lee, Youngjoo
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2022, 71 (05) : 5587 - 5592
  • [25] Low-Complexity Channel Estimation and Passive Beamforming for RIS-Assisted MIMO Systems Relying on Discrete Phase Shifts
    An, Jiancheng
    Xu, Chao
    Gan, Lu
    Hanzo, Lajos
    IEEE TRANSACTIONS ON COMMUNICATIONS, 2022, 70 (02) : 1245 - 1260
  • [26] Low-complexity Transceiver Beamforming for DFRC with MIMO Radar and MU-MIMO Communication
    Wang, Zhiqin
    Jiang, Jiamo
    Han, Kaifeng
    Chen, Li
    2022 INTERNATIONAL WIRELESS COMMUNICATIONS AND MOBILE COMPUTING, IWCMC, 2022, : 32 - 37
  • [27] Transmit/Receive Beamforming Design for Joint Radar and Communication Systems
    Hassanien, Aboulnasr
    Himed, Braham
    Amin, Moeness G.
    2018 IEEE RADAR CONFERENCE (RADARCONF18), 2018, : 1481 - 1486
  • [28] Joint Design of Transmit Antenna Selection and Beamforming for MIMO NOMA Networks
    Zhao, Sai
    Zhang, Zhihao
    Yu, Junbin
    Tian, Maoxin
    Li, Quanzhong
    IEEE WIRELESS COMMUNICATIONS LETTERS, 2022, 11 (11) : 2320 - 2324
  • [29] Joint Iterative Optimization-Based Low-Complexity Adaptive Hybrid Beamforming for Massive MU-MIMO Systems
    Ruan, Hang
    Xiao, Pei
    Xiao, Lixia
    Kelly, James R.
    IEEE TRANSACTIONS ON COMMUNICATIONS, 2021, 69 (03) : 1707 - 1722
  • [30] A Distributed MIMO Radar With Joint Optimal Transmit and Receive Signal Combining
    Dontamsetti, Satya Ganesh
    Kumar, Ratnam V. Raja
    IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 2021, 57 (01) : 623 - 635