A hybrid Hausdorff distance track correlation algorithm based on time sliding window

In multi-sensor target tracking, track correlation is the key to unification of global situation. Hausdorff distance has been applied power fault elimination, point cloud data, medical measurement, image segmentation, vehicle trajectory recognition and other directions. To solve problem correlation, a hybrid algorithm based on time sliding window proposed. The position, speed azimuth defined, added this basis. Simulation results show that proposed can maintain high correct rate under conditions maneuver, asynchronism, inconsistent radar sampling frequency, superior traditional algorithm.