2026-10-14T17:17:24Z https://www.scidb.cn/oai

10.57760/sciencedb.36815 2026-09-16T16:59:15Z

2026-09-16 DRFF-R2 | Multi-Scenario UAV Radio Frequency Signal Dataset doi:10.57760/sciencedb.36815 en This dataset is a large-scale dataset designed to support research on multiple unmanned aerial vehicle radio frequencies (RF). It relies on a unified standardized collection framework and aims to provide a reliable foundation for cross scenario modeling and model generalization ability evaluation. This dataset has the following four core advantages: Device and individual diversity: The dataset includes 26 drones of 8 different models, providing rich device categories and individual differences. Multi scenario and environmental complexity: The collected environment covers various complex scenarios such as outdoor flight, indoor interference, and mixed flight of multiple drones, which can truly and effectively depict the channel changes and signal coupling characteristics in actual wireless environments. The spatiotemporal dynamics of altitude: Data collection covers different flight altitudes, speeds, operating states, and cross time conditions. This multidimensional dynamic change feature helps algorithm models better interpret and process non-stationary signals.Data consistency and comparability: With a unified hardware configuration and standardized collection process, the dataset strictly ensures consistency between data from different scenarios. Please cite the following references when using this dataset: @article{zheng2026multi,title={A Multi-Scenario UAV RF Dataset with Real-World Acquisition and Signal Processing Benchmarking},author={Zheng, Haolin and Gao, Ning and Zhu, Zhenghang and Huang, Zhijun and Jin, Shi and Matthaiou, Michail},journal={arXiv preprint arXiv:2603.00106},year={2026}} DRFF-R2; UAV; RF; spectrum identification Zheng Haolin Gao Ning PUBLIC https://creativecommons.org/licenses/by/4.0/ dataset Science Data Bank