This paper considers the problem of target detection in a multiple-input multiple-output (MIMO) radar aided by two reconfigurable intelligent surfaces (RISs), one close to the transmitter and one close to the receiver. A novel signal model is first introduced, subsuming both mono- and bi-static configurations. Upon resorting to a generalized likelihood ratio test (GLRT), the RISs are then designed to maximize the probability of detection for a fixed probability of false alarm. Finally, we assess the benefits of this architecture and study the interplay among the radar-RIS distance, the RIS size, and the target location
Exploiting Reconfigurable Intelligent Surfaces in MIMO Radar Detection / Buzzit, S.; Grossi, E.; Lops, M.; Venturino, L.. - (2022), pp. 1-6. [10.1109/RadarConf2248738.2022.9764191]
Exploiting Reconfigurable Intelligent Surfaces in MIMO Radar Detection
Lops M.;Venturino L.
2022
Abstract
This paper considers the problem of target detection in a multiple-input multiple-output (MIMO) radar aided by two reconfigurable intelligent surfaces (RISs), one close to the transmitter and one close to the receiver. A novel signal model is first introduced, subsuming both mono- and bi-static configurations. Upon resorting to a generalized likelihood ratio test (GLRT), the RISs are then designed to maximize the probability of detection for a fixed probability of false alarm. Finally, we assess the benefits of this architecture and study the interplay among the radar-RIS distance, the RIS size, and the target locationFile | Dimensione | Formato | |
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