micro-Doppler (m-Doppler) signatures
现有的公开数据集往往存在数据量小，训练过程不充分，导致过拟合严重，泛化性能差的问题。针对这一问题，构建了雷达数据集 RadSet。在数据获取阶段，frequency modulated continuous wave (FMCW) radar system IWR1843 Boost manufactured by Texas Instruments (TI) was used. The RadSet dataset is collected by I+ Lab at Shandong University, covering a rectangular area 5 meters long in front of the radar and 4 meters wide, with the radar placed at a height of 120 cm above the ground. The volunteers execute the aforementioned activities at distances ranging between 1 to 5 meters from the radar.
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In the view of national security, radar micro-Doppler (m-D) signatures-based recognition of suspicious human activities becomes significant. In connection to this, early detection and warning of terrorist activities at the country borders, protected/secured/guarded places and civilian violent protests is mandatory.
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