Joint Active and Passive Beamforming for IRS-Assisted Radar

• Published in: IEEE signal processing letters Vol. 29; pp. 349 - 353
• Main Authors: Wang, Fangzhou, Li, Hongbin, Fang, Jun
• Format: Journal Article
• Language: English
• Published: New York IEEE 2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: 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
• ISSN: 1070-9908; 1558-2361
• DOI: 10.1109/LSP.2021.3134899

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.