Reasearch on Multiradar Data Fusion Algorithm Based on Grid Clustering

This paper studies application grid clustering method to distinguish the target observation data which is received by the same radar. The fusion of the same goal's observation data received by different radars is realized through the integration of different observation data, so as to realize real-time tracking of multiple targets. The basic thought of grid observation data clustering, and the formal description algorithm are studied. The Kalman filter equations for maneuvering target tracking are described. Parameter matrix theoretical basis for the simplified calculation and the corresponding initial matrix are given for air traffic control system. The simulation result indicates that the grid clustering is able to discriminate different targets well and to carry on the track fusion more accurate.