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 inIEEE signal processing letters Vol. 29; pp. 349 - 353
Main Authors Wang, Fangzhou, Li, Hongbin, Fang, Jun
Format Journal Article
LanguageEnglish
Published New York IEEE 2022
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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ISSN1070-9908
1558-2361
DOI10.1109/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.
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
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Cites_doi 10.1109/MCOM.001.2000407
10.1109/ACCESS.2019.2935192
10.1109/TSP.2020.2964194
10.1109/MSP.2010.936019
10.1017/CBO9780511804441
10.1109/MCOM.001.2001076
10.1109/MCOM.001.1900107
10.1109/LSENS.2021.3052753
10.1109/JSYST.2021.3057400
10.1109/TAES.2019.2897031
10.1109/LWC.2020.3039369
10.1109/TWC.2014.011714.130846
10.1109/TVT.2020.3031657
10.1109/JSAC.2014.2328154
10.1109/TWC.2020.3030570
10.1109/SPAWC51858.2021.9593143
10.1109/RADAR41533.2019.171221
10.1109/TVT.2021.3102315
10.1109/TVT.2021.3075497
10.1109/LSP.2021.3089085
10.1109/LSP.2020.2998357
10.1109/LSENS.2021.3061534
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References ref13
ref12
ref15
ref11
ref10
jamali (ref18) 2021
ref2
ref1
ref17
ref16
ref19
grant (ref21) 2014
ref24
buzzi (ref14) 2021
ref23
ref26
ref25
ref22
ref8
ref7
ref9
ref4
ref3
ref6
ref5
richards (ref20) 2005
References_xml – ident: ref19
  doi: 10.1109/MCOM.001.2000407
– year: 2021
  ident: ref18
  article-title: Low-to-zero-overhead IRS reconfiguration: Decoupling illumination and channel estimation
– ident: ref1
  doi: 10.1109/ACCESS.2019.2935192
– year: 2005
  ident: ref20
  publication-title: Fundamentals of Radar Signal Processing
– ident: ref23
  doi: 10.1109/TSP.2020.2964194
– ident: ref22
  doi: 10.1109/MSP.2010.936019
– ident: ref24
  doi: 10.1017/CBO9780511804441
– ident: ref3
  doi: 10.1109/MCOM.001.2001076
– ident: ref2
  doi: 10.1109/MCOM.001.1900107
– ident: ref11
  doi: 10.1109/LSENS.2021.3052753
– ident: ref9
  doi: 10.1109/JSYST.2021.3057400
– year: 2021
  ident: ref14
  article-title: Foundations of MIMO radar detection aided by reconfigurable intelligent surfaces
– ident: ref15
  doi: 10.1109/TAES.2019.2897031
– ident: ref8
  doi: 10.1109/LWC.2020.3039369
– ident: ref25
  doi: 10.1109/TWC.2014.011714.130846
– ident: ref5
  doi: 10.1109/TVT.2020.3031657
– year: 2014
  ident: ref21
  article-title: CVX: Matlab software for disciplined convex programming, version 2.1
– ident: ref26
  doi: 10.1109/JSAC.2014.2328154
– ident: ref6
  doi: 10.1109/TWC.2020.3030570
– ident: ref10
  doi: 10.1109/SPAWC51858.2021.9593143
– ident: ref16
  doi: 10.1109/RADAR41533.2019.171221
– ident: ref17
  doi: 10.1109/TVT.2021.3102315
– ident: ref7
  doi: 10.1109/TVT.2021.3075497
– ident: ref13
  doi: 10.1109/LSP.2021.3089085
– ident: ref4
  doi: 10.1109/LSP.2020.2998357
– ident: ref12
  doi: 10.1109/LSENS.2021.3061534
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Snippet Intelligent reflecting surface (IRS) is a promising technology being considered for future wireless communications due to its ability to control signal...
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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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