Point Cloud Registration based Track Correlation Method

Abstract

To suppress coordinate system offset and improve track correlation precision, a point cloud registration based correlation method for multi-radar was proposed in this paper. Coordinate system offset parameters were estimated by point cloud registration. Then based on the registration parameters, the coordinate system offset was calibrated, all the track points' positions were updated. Finally, the updated tracks were correlated by the K-Nearest Neighbors method. To evaluate the performance of the method, simulation data was used in experiments. Results indicate that the method improves the correlation accuracy and adapts to the coordinate offset in multi-radar systems.