Radar measurements on drones, birds and humans with a 77GHz FMCW sensor.

This data set contains radar measurements on birds, humans and six different drones with a total of 75868 samples. The sensor was a frequency modulated continuous wave (FMCW) radar operating at 77 GHz with a mechanically scanning antenna. The 'ReadMe.txt' file contains a detailed description of the data. The data set is used in [1] where only FM-sweeps corresponding to azimuth index 54 to 203 are used (out of the provided 256), or 150 sweeps. When using this data set please refer to: [1] A. Karlsson, M. Jansson and M. Hämäläinen, "Model-Aided Drone Classification Using Convolutional Neural Networks," <em>2022 IEEE Radar Conference (RadarConf22)</em>, 2022, pp. 1-6, doi: 10.1109/RadarConf2248738.2022.9764194. The data in version 1.0 and 2.0 is identical apart from the format, ".mat" in 1.0 and ".npy" in 2.0本数据集包含针对鸟类、人类及六种不同无人机的雷达测量数据，共计75868个样本。所用传感器为工作于77 GHz的调频连续波（frequency modulated continuous wave, FMCW）雷达，搭载机械扫描天线。配套的‘ReadMe.txt’文件包含该数据集的详细说明。该数据集曾被文献[1]采用，该研究仅使用了给定256组方位角扫描中的第54至203组调频扫频数据，即共计150组扫频数据。使用本数据集时，请引用如下参考文献：[1] A. Karlsson、M. Jansson及M. Hämäläinen，《基于卷积神经网络的模型辅助无人机分类》，收录于《2022 IEEE雷达会议（RadarConf22）》，2022年，第1-6页，DOI: 10.1109/RadarConf2248738.2022.9764194。该数据集1.0与2.0版本的内容完全一致，仅存储格式不同：1.0版采用.mat格式，2.0版采用.npy格式。