Multi-rada Data Fusion Algorithm Based on K-Central Clustering

This paper studied the discrimination of the different kind goal observation data using the k-central clustering method, and realized to the multi-objectives real-time track through the kind of data fusion. The basic thought, Cluster treating processes and the algorithm realization of the observation data k-central clustering are studied. Filter Equations for maneuvering target tracking are described; Parameter matrix theory for the Simplified calculation and corresponding initial value are given in air traffic control system. The discovery which the k-central clustering be able to discriminate different goal well, and after clustering the kind to carry on the track fusion to be more accurate are found. The simulation result indicated that, the filter track trace is good after the k-central clustering.