论文标题
在几何不匹配下，误指定的Cramér-rao限制了RIS AID的本地化
Misspecified Cramér-Rao Bound of RIS-aided Localization under Geometry Mismatch
论文作者
论文摘要
在5G/6G无线系统中，可重构的智能表面（RIS）可以作为被动锚发挥作用，以在各种情况下启用和增强本地化。但是，大多数现有的RIS辅助定位工作都假定RI的几何形状是完全已知的，这在实践中是由于校准误差而不现实的。在这项工作中，我们为单输入单输出rIS ris辅助的定位系统得出了误指定的cramér-rao绑定（MCRB）。具体而言，与大多数使用数值方法的现有作品不同，我们为MCRB分析的伪真实参数确定问题提出了封闭形式的解决方案。仿真结果证明了派生的伪真实参数和MCRB的有效性，并表明RIS几何不匹配导致高信噪比区域的性能饱和。
In 5G/6G wireless systems, reconfigurable intelligent surfaces (RIS) can play a role as a passive anchor to enable and enhance localization in various scenarios. However, most existing RIS-aided localization works assume that the geometry of the RIS is perfectly known, which is not realistic in practice due to calibration errors. In this work, we derive the misspecified Cramér-Rao bound (MCRB) for a single-input-single-output RIS-aided localization system with RIS geometry mismatch. Specifically, unlike most existing works that use numerical methods, we propose a closed-form solution to the pseudo-true parameter determination problem for MCRB analysis. Simulation results demonstrate the validity of the derived pseudo-true parameters and MCRB, and show that the RIS geometry mismatch causes performance saturation in the high signal-to-noise ratio regions.
