The Fusion Method of GB-MIMO Radar Images And 3D Point Cloud Data Based on High-precision Coordinate System Conversion

Ground-based multiple-input multiple-output (MIMO) radar has the advantages of portability and high image frame rate, and has broad application prospects in monitoring landslides and other geological disaster early warning. The high-precision imaging of ground-based radar can obtain the scattering characteristics of the target in the scene, but the two-dimensional imaging in the line of sight direction, it's difficult to reflect the three-dimensional structure of the target in the scene. With the help of three-dimensional point cloud data and based on the principle of radar imaging, this paper breaks through technologies of radar position estimation, coordinate system conversion, and matching of radar data and point cloud data. Achieved high-precision fusion of radar data and 3D point cloud.