Abstract

Reconfigurable intelligent surfaces (RISs) are characterized by low cost and strong survivability and can change the electromagnetic characteristics of signals. Based on these characteristics, this paper deploys an RIS near a monostatic radar. The radar can receive direct signals from the target (jammer) and reflected signals from the RIS, thereby achieving multiview monostatic radar anti-main lobe suppression interference. This paper first establishes an RIS-aided radar echo signal model and then systematically analyzes the ability of the RIS-aided radar to resist main lobe suppression interference. Subsequently, the phase shift vector of the 1-bit encoded RIS is obtained using a genetic algorithm to achieve beam control. The simulation results showed that introducing an RIS to assist monostatic radar can effectively improve the anti-main lobe suppression interference ability of monostatic radar at a relatively low cost.

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