%% The script is used for data classification using multi-sampling convolutional neural network (MSCNN) % Author: Weicheng Gao, AKA JoeyBG. % Time: 2022.11.12. % Learning purposes only! % Unless you are a member of the New Type System Radar Laboratory of the Beijing Institute of Technology, my senior or junior. No one else can use this code for releasing without permission. % Parameters input should be defined as follow: % { % Radar parameters: % L_width: The observation area in the length direction(m). % W_width: The observation area in the width direction(m). % LL & WW:The resolution in the length and width direction, we use our % sample data to generate, which is 64 points per frame. % B_width: Band width of the radar ejection wave(Hz). % fc: Carrier frequency. % tRange: Carrier duration(s). % nT: Sampling numbers. % % Wall parameters: % d: The distance between radar and the wall(m). % e_content: Dielectric constant of wall. % % Antenna parameters: % N_line: Number of antenna partitions, single-shot single-receive % antenna. % % Target parameters: % x_tag: X direction of the targets(m). % y_tag: Y direction of the targets(m). % % Imaging parameters: % Radar_image_path: Datas. % }