A model for clustering air targets is proposed to accurately identify the formation information of enemy targets in the air battlefield.This model comprehensively selects multi-feature such as the posi-tion、altitude、heading,and speed information of air targets to calculate the similarity between targets,and a multi-feature similarity matrix is constructed.Multi-feature similarity is used as a measure of"dis-tance"between targets,and the formation information of air targets is obtained through clustering iteration using the K-means algorithm.Experimental results show that the identification accuracy is 40％higher than that based on traditional clustering algorithms,which proves the efficiency of the proposed method in this paper in solving identify formation information of enemy targets in complex air combat environments.
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