Measured Radio Map Dataset (V2.0) with Multi-radiation Sources of Urban Scenarios (80m×105m)

The radio map, or spectrum environment map (SEM), can visualize the information of invisible electromagnetic spectrum, and is vital for monitoring, management, and security of spectrum resources in cognitive radio (CR) networks. It is useful for the abnormal spectral activity detection, radiation source localization, spectrum resource management, etc. This project presents a measured radio map dataset in the urban scenario with multiple radiation sources, aiming to address the limitation of open datasets for radio map in realistic multi-source dynamic scenarios. We used a spectral signal receiving system to measure the signal intensity of multiple radiation sources in the urban scene. This project includes two datasets as 1) Raw radio map measurement data (30 MHz, 115 MHz, and 2 GHz), in the format of.csv. It includes entries such as longitude, latitude, altitude, start and end frequencies, frequency interval, number of acquisition points, and signal strength. 2) Raw spectrum tensor data (30 MHz, 115 MHz, and 2 GHz), in the format of.mat. More details about the construction of the spectrum map and dataset can be found in the following references. [1]. Q. Zhu et al., DEMO Abstract: An UAV-based 3D Spectrum Real-time Mapping System, 2022 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), New York, NY, USA, 2022, pp. 1-2. [2] J. Wang et al., "Sparse Bayesian Learning-Based Hierarchical Construction for 3D Radio Environment Maps Incorporating Channel Shadowing," in IEEE Transactions on Wireless Communications, vol. 23, no. 10, pp. 14560-14574, Oct. 2024. [3]. Q. Gao, et al. Time-Variant Radio Map Reconstruction with Optimized Distributed Sensors in Dynamic Spectrum Environments[J]. IEEE Internet of Things Journal, early access, Feb.2025, doi: 10.1109/JIOT.2025.3545542.无线电地图（Radio Map），又称频谱环境地图（Spectrum Environment Map, SEM），可将不可见的电磁频谱信息可视化，对于认知无线电（Cognitive Radio, CR）网络中的频谱资源监测、管理与安全保障至关重要。其可用于异常频谱活动检测、辐射源定位、频谱资源管理等场景。 本项目构建了多辐射源城市场景下的实测无线电地图数据集，旨在解决现有公开无线电地图数据集在真实多源动态场景中的局限性。我们采用频谱信号接收系统，对城市场景下多辐射源的信号强度进行了实测采集。本项目包含两类数据集： 1. 原始无线电地图测量数据（覆盖30 MHz、115 MHz与2 GHz频段），格式为.csv文件，包含经度、纬度、海拔、起止频率、频率间隔、采集点数以及信号强度等字段。 2. 原始频谱张量数据（覆盖30 MHz、115 MHz与2 GHz频段），格式为.mat文件。 有关频谱地图与数据集构建的更多细节，可参阅以下参考文献： [1] Q. Zhu等人，《演示摘要：基于无人机的三维频谱实时测绘系统》，2022年IEEE计算机通信研讨会（INFOCOM WKSHPS），美国纽约州纽约市，2022年，第1-2页。 [2] J. Wang等人，"Sparse Bayesian Learning-Based Hierarchical Construction for 3D Radio Environment Maps Incorporating Channel Shadowing"，《IEEE无线通信汇刊》，第23卷第10期，第14560-14574页，2024年10月。 [3] Q. Gao等人，"Time-Variant Radio Map Reconstruction with Optimized Distributed Sensors in Dynamic Spectrum Environments"[J]，《IEEE物联网期刊》，预出版，2025年2月，DOI: 10.1109/JIOT.2025.3545542。