Sionna ray tracing vs. real-world measurements: Signal strength comparison in rural scenarios with foliage

This dataset contains received signal strength (RSS) simulation results generated using NVIDIA Sionna's ray tracing, along with real-world UAV-based measurements collected at the NSF AERPAW testbed. The UAV follows a predefined trajectory in a rural environment, transmitting signals to five ground-based towers equipped with dual-channel USRP B210 devices. Corresponding ray tracing simulations are conducted using identical trajectory and transceiver settings. The dataset includes three main components: (1) raw GPS and RSS measurements, (2) ray tracing simulation outputs, and (3) post-processed data aligned for direct comparison. MATLAB scripts are provided to support trajectory visualization, RSS calibration, and comparative analysis. This dataset enables studies in RF propagation modeling, validation of ray tracing simulations, and rural coverage analysis for UAV communication systems., , ## Sionna ray tracing vs. real-world measurements: Signal strength comparison in rural scenarios with foliage ## Description of the data and file structure We use the NVIDIA Sionna ray tracing tool for RF signal strength analysis in rural scenarios with foliage. To verify the results, we use real-world measurement data in the **NSF AERPAW Testbed**. The UAV flies over the predefined trajectory and five towers (LW1 ~ LW5) in the test bed receive (B210, dual channel USRP) the transmitted signal from the UAV. The Sionna ray tracing is conducted using the same trajectory as the measurement campaign. More information about the simulation setups and ray tracing scenarios is available at [https://arxiv.org/abs/2502.10324](https://arxiv.org/abs/2502.10324). **Dataset Structure** Note: Datasets are annotated as D (ex., D1, D2, ...) and Scripts are annotated as C (ex,. C1, C2, ...) **List of files** * `D1_RSS_Measurements` * `D2_RT_RSS_results_data.mat` * `D3_RT_Measurement_RSS_postprocesse...,本数据集包含基于NVIDIA Sionna射线追踪（ray tracing）生成的接收信号强度（Received Signal Strength, RSS）仿真结果，以及在NSF AERPAW实验平台采集的真实无人机（Unmanned Aerial Vehicle, UAV）实测数据。无人机沿预设轨迹在乡村环境飞行，向五座搭载双通道USRP B210设备的地面塔发射信号。本次研究采用与实测完全一致的轨迹与收发机参数开展射线追踪仿真。数据集包含三大核心模块：(1) 原始GPS与RSS实测数据；(2) 射线追踪仿真输出结果；(3) 经对齐处理可直接对比的后处理数据。配套提供MATLAB脚本，用于轨迹可视化、RSS校准与对比分析。本数据集可支撑射频（Radio Frequency, RF）传播建模、射线追踪仿真验证以及无人机通信系统乡村覆盖分析等相关研究。 ## Sionna射线追踪与实测对比：带植被遮挡的乡村场景信号强度对比 ### 数据与文件结构描述 本研究采用NVIDIA Sionna射线追踪工具，用于开展带植被遮挡的乡村场景射频信号强度分析。为验证仿真结果，我们采集了NSF AERPAW实验平台内的真实实测数据。无人机沿预设轨迹飞行，五座地面塔（LW1~LW5）搭载双通道USRP B210设备接收无人机发射的信号。本次Sionna射线追踪仿真采用与实测任务完全一致的轨迹参数。更多仿真配置与射线追踪场景细节可参见[https://arxiv.org/abs/2502.10324]。 #### 数据集结构 注：数据集以D标注（如D1、D2……），脚本以C标注（如C1、C2……） #### 文件清单 * `D1_RSS_Measurements` * `D2_RT_RSS_results_data.mat` * `D3_RT_Measurement_RSS_postprocesse...,