论文标题
在可重构智能表面的存在下，味o无线本地化
MISO Wireless Localization in The Presence of Reconfigurable Intelligent Surface
论文作者
论文摘要
可重新配置的智能表面（RIS）在第六代网络中起关键作用，以提高通信率和本地化精度。在这封信中，我们提出了在RIS辅助环境中的定位算法，在RIS辅助环境中，基站（BS）是多Anti-Antenna，而移动站（MS）是单人体的。我们表明，如果障碍物（LOS）被阻塞并且有三个RIS，我们的方法可以实现高精度定位。我们以不同的时间插槽向接收器发送了几个已知信号，并以适当的方式同时更改RISS的相位变速器，并提出了一种消除开角（AOD）破坏性效应的技术，以确定每个RISS和MS之间的距离。所提出的算法的准确性优于未估计AOD的算法，该算法在数值结果部分中显示。
Reconfigurable Intelligent Surface (RIS) plays a pivotal role in the sixth generation networks to enhance communication rate and localization accuracy. In this letter, we propose a positioning algorithm in a RIS-assisted environment, where the Base Station (BS) is multi-antenna, and the Mobile Station (MS) is single-antenna. We show that our method can achieve a high-precision positioning if the line-of-sight (LOS) is obstructed and three RISs are available. We send several known signals to the receiver in different time slots and change the phase shifters of the RISs simultaneously in a proper way, and we propose a technique to eliminate the destructive effect of the angle-of-departure (AoD) in order to determine the distances between each RISs and the MS. The accuracy of the proposed algorithm is better than the algorithms which do not estimate the AoD, shown in the numerical result section.
