TY - JOUR
T1 - Joint Active and Passive Beamforming for IRS-Assisted Radar
AU - Wang, Fangzhou
AU - Li, Hongbin
AU - Fang, Jun
N1 - Publisher Copyright:
1070-9908 © 2021 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission. See https://www.ieee.org/publications/rights/index.html for more information.
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
KW - Array signal processing
KW - Clutter
KW - Optimization
KW - Passive radar
KW - Radar
KW - Radar detection
KW - Surveillance
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U2 - 10.1109/LSP.2021.3134899
DO - 10.1109/LSP.2021.3134899
M3 - Article
AN - SCOPUS:85124194192
SN - 1070-9908
VL - 29
SP - 349
EP - 353
JO - IEEE Signal Processing Letters
JF - IEEE Signal Processing Letters
ER -