Accurate and efficient modeling of indoor wireless signal propagation is crucial for the deployment of next-generation Wi-Fi. This paper presents a digital twin-based measurement system that integrates real-world 3D environment reconstruction with deterministic ray tracing for physically grounded electromagnetic modeling. Building geometry is obtained through LiDAR scanning, followed by object segmentation and assignment of ITU-R standard material parameters. The propagation process is simulated with a GPU-accelerated ray-tracing engine that generates path-level channel attributes, including delay, power, angular dispersion, and Ricean K-factor. Under identical runtime constraints, the proposed system is evaluated against a commercial measurement simulator, demonstrating up to 21 dB higher path gain and consistently improved signal-to-interference-plus-noise ratio in line-of-sight conditions. Additionally, experiments against onsite RSSI measurements confirm a high spatial correlation of 0.98 after calibration, proving the system's fidelity in real-world settings. Furthermore, coverage analysis across 2.4 GHz, 5 GHz, and 6 GHz bands demonstrates the capability of system to model frequency-dependent material attenuation for Wi-Fi 6E/7 networks. Finally, the system offers interactive 3D visualization and on-demand data extraction, highlighting its potential for digital twin-driven wireless system design and optimization.

翻译：准确高效的室内无线信号传播建模对下一代Wi-Fi部署至关重要。本文提出一种基于数字孪生的测量系统，将真实三维环境重建与确定性射线追踪相结合，实现物理基础的电磁建模。通过激光雷达扫描获取建筑几何结构，随后进行物体分割并分配ITU-R标准材料参数。传播过程采用GPU加速的射线追踪引擎进行模拟，生成路径级信道属性，包括时延、功率、角度扩展和莱斯K因子。在相同运行时间约束下，将所提系统与商用测量模拟器进行对比评估，结果表明在视距条件下路径增益最高提升21 dB，信号与干扰加噪声比持续改善。此外，通过与现场RSSI测量数据对比实验，校准后空间相关性高达0.98，证明了系统在实际环境中的保真度。进一步通过2.4 GHz、5 GHz和6 GHz频段的覆盖分析，展示了系统对Wi-Fi 6E/7网络中频率相关材料衰减的建模能力。最后，系统提供交互式三维可视化与按需数据提取功能，突显了其在数字孪生驱动的无线系统设计与优化中的应用潜力。