RRN-ATR-Net dataset

RRN-ATR-Net is a radar echo data set containing the micro-Doppler signatures (m-Ds) of different aerial targets, with a total sample size of 1200. It is available for researchers interested in this field but having difficulty collecting data. The data set is acquired using Texas Instruments' AWR1642BOOST radar sensor and the DCA1000EVM high-speed data acquisition card. The target types subject to acquisition include quadrotor (Phantom3s), fixed-wing (Cessna182), helicopter (T-REX450), and bionic bird (Gogo Bird1020). These data are collected in the anechoic chamber to eliminate unnecessary interference. The acquisition method is to place the target statically in a fixed position within a range of 1.5 to 6 meters away from the radar, allowing only the blade or wing to move. 300 signal samples are collected for each type.