RIS-aided Radar Detection Architectures with Application to Low-RCS Targets

TL;DR

This paper proposes RIS-assisted radar detection architectures that enhance the detection of low observable targets by redirecting backscattered energy towards the radar, offering a cost-effective alternative to multistatic radar networks.

Contribution

It introduces five novel detection architectures utilizing RIS to improve low-RCS target detection without multistatic synchronization complexities.

Findings

Proposed architectures outperform conventional detectors in low-RCS scenarios.

RIS-based approach maintains constant false alarm rate with clutter.

Design guidelines facilitate practical implementation of RIS for radar detection.

Abstract

In this paper, we address the radar detection of low observable targets with the assistance of a reconfigurable intelligent surface (RIS). Instead of using a multistatic radar network as counter-stealth strategy with its synchronization, costs, phase coherence, and energy consumption issues, we exploit a RIS to form a joint monostatic and bistatic configuration that can intercept the energy backscattered by the target along irrelevant directions different from the line-of-sight of the radar. Then, this energy is redirected towards the radar that capitalizes all the backscattered energy to detect the low observable target. To this end, five different detection architectures are devised that jointly process monostatic and bistatic echoes and exhibit the constant false alarm rate property at least with respect to the clutter power. To support the practical implementation, we also provide a guideline for the design of a RIS that satisfies the operating requirements of the considered application. The performance analysis is carried out in comparison with conventional detectors and shows that the proposed strategy leads to effective solutions to the detection of low observable targets.