A Reconfigurable Intelligent Surface (RIS) can significantly enhance network positioning and mapping, acting as an additional anchor point in the reference system and improving signal strength and measurement diversity through the generation of favorable scattering conditions and virtual line-of-sight paths. In this paper, we present a comprehensive framework aimed at user localization and scatterer position estimation in an indoor environment with multipath effects. Our approach leverages beam sweeping through codebook-based beamforming at an 1-bit RIS to scan the environment, applies signal component extraction mechanisms, and utilizes a super-resolution algorithm for angle-based positioning of both connected users and scatterers. To validate the system's effectiveness, accurate 3D ray tracing models are employed, ensuring the robustness and effectiveness of the proposed approach in practical scenarios.

翻译：可重构智能表面（RIS）能够显著增强网络定位与建图能力，其在参考系中可作为附加锚点，并通过生成有利的散射条件与虚拟视距路径来提升信号强度与测量多样性。本文提出一个面向多径效应室内环境的用户定位与散射体位置估计的综合框架。该方法利用基于码本的波束赋形在一比特RIS上通过波束扫描对环境进行探测，应用信号分量提取机制，并采用超分辨率算法实现连接用户与散射体的基于角度的定位。为验证系统有效性，本研究采用精确的三维射线追踪模型，确保所提方法在实际场景中的鲁棒性与有效性。