论文标题
单次和双弹跳多径，ris辅助的单静感感应和对象检测
RIS-Aided Monostatic Sensing and Object Detection with Single and Double Bounce Multipath
论文作者
论文摘要
我们为用户设备（UE）提出了一个单静态传感的框架，并在具有单弹性信号传播的环境中得到可重构智能表面（RIS）的帮助。我们设计适当的UE侧预编码和组合，以促进信号分离。我们根据链接的几何通道参数得出可分解信号的自适应检测概率。然后，我们使用映射过滤器，使用被动RIS（即RIS传感）和单反射多路径直接估算被动对象，并将单弹跳多路径直接估算到对象（即非RIS感应）。最后，我们提供数值结果，以证明可以通过提出的框架实现有效感应。
We propose a framework for monostatic sensing by a user equipment (UE), aided by a reconfigurable intelligent surface (RIS) in environments with single- and double-bounce signal propagation. We design appropriate UE-side precoding and combining, to facilitate signal separation. We derive the adaptive detection probabilities of the resolvable signals, based on the geometric channel parameters of the links. Then, we estimate the passive objects using both the double-bounce signals via passive RIS (i.e., RIS-sensing) and the single-bounce multipath direct to the objects (i.e., non-RIS-sensing), based on a mapping filter. Finally, we provide numerical results to demonstrate that effective sensing can be achieved through the proposed framework.
