3D Point Cloud Video Imagery of Automotive Millimeter-wave Radar
Due to the limitations of array resolution and etc,the point cloud imaging technology of millimeter-wave radar has the disadvantages of sparse distribution of point cloud and low-precision location.In this paper,a novel point cloud video imaging algo-rithm of 3D millimeter-wave radar on vehicle platform using the synthetic aperture radar(SAR)technology is proposed.First,the time-domain back-projection(BP)algorithm is applied to solve the slant-range wide-angle imaging focusing problem,obtaining well-focused high-resolution 2D image.Second,the amplitude threshold-based Complex-Valued Alternating Direction Method of Multipliers Compressed Sensing Net(CV-ADMM-CSNet)is applied to obtain elevation information of scenes,which achieves fast and real-time high-resolution 3D imaging through modeling methods combined with data training.Finally,the dynamic 3D point cloud image can be successfully generated in combination with the multi-frame SAR imaging.The experimental analysis using sim-ulated and measured data is performed to confirm the effectiveness of the proposed algorithm.
millimeter-wave radar3D point cloud video imagingsynthetic aperture radar
万方数据
维普
