Joint Active and Passive Beamforming for IRS-Assisted Radar
Intelligent reflecting surface (IRS) is a promising technology being considered for future wireless communications due to its ability to control signal propagation. This paper considers the joint active and passive beamforming problem for an IRS-assisted radar, where multiple IRSs are employed to as...
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Published in | IEEE signal processing letters Vol. 29; pp. 349 - 353 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
New York
IEEE
2022
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subjects | |
Online Access | Get full text |
ISSN | 1070-9908 1558-2361 |
DOI | 10.1109/LSP.2021.3134899 |
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Abstract | Intelligent reflecting surface (IRS) is a promising technology being considered for future wireless communications due to its ability to control signal propagation. This paper considers the joint active and passive beamforming problem for an IRS-assisted radar, where multiple IRSs are employed to assist the surveillance of multiple targets in cluttered environments. Specifically, we aim to maximize the minimum target illumination power at multiple target locations by jointly optimizing the active beamformer at the radar transmitter and the passive phase-shift matrices at the IRSs, subject to an upperbound on the clutter power at each clutter scatterer. The resulting optimization problem is nonconvex and solved with a sequential optimization procedure along with semidefinite relaxation (SDR). Simulation results show that additional line-of-sight (LOS) paths created by IRSs can substantially improve the radar robustness against target blockage. |
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AbstractList | Intelligent reflecting surface (IRS) is a promising technology being considered for future wireless communications due to its ability to control signal propagation. This paper considers the joint active and passive beamforming problem for an IRS-assisted radar, where multiple IRSs are employed to assist the surveillance of multiple targets in cluttered environments. Specifically, we aim to maximize the minimum target illumination power at multiple target locations by jointly optimizing the active beamformer at the radar transmitter and the passive phase-shift matrices at the IRSs, subject to an upperbound on the clutter power at each clutter scatterer. The resulting optimization problem is nonconvex and solved with a sequential optimization procedure along with semidefinite relaxation (SDR). Simulation results show that additional line-of-sight (LOS) paths created by IRSs can substantially improve the radar robustness against target blockage. |
Author | Li, Hongbin Wang, Fangzhou Fang, Jun |
Author_xml | – sequence: 1 givenname: Fangzhou orcidid: 0000-0002-9640-5285 surname: Wang fullname: Wang, Fangzhou email: fwang11@stevens.edu organization: Department of Electrical and Computer Engineering, Stevens Institute of Technology, Hoboken, NJ, USA – sequence: 2 givenname: Hongbin orcidid: 0000-0003-1453-847X surname: Li fullname: Li, Hongbin email: hli@stevens.edu organization: Department of Electrical and Computer Engineering, Stevens Institute of Technology, Hoboken, NJ, USA – sequence: 3 givenname: Jun surname: Fang fullname: Fang, Jun email: junfang@uestc.edu.cn organization: National Key Laboratory of Science and Technology on Communications, University of Electronic Science and Technology of China, Chengdu, China |
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SubjectTerms | Array signal processing Beamforming Clutter Intelligent reflecting surface Line of sight non-line of sight Optimization Passive radar Radar Radar detection Radar transmitters Surveillance Upper bounds Wireless communications |
Title | Joint Active and Passive Beamforming for IRS-Assisted Radar |
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