期刊名称：International Journal of Computer Science and Network Security
印刷版ISSN：1738-7906
出版年度：2006
卷号：6
期号：6
页码：13-19
出版社：International Journal of Computer Science and Network Security
摘要：New group formation algorithm for maneuvering target was proposed. The algorithm defined multiple key property similarities by extracting the results of level 1 processing of data fusion and re-fused them to calculate the group formation. It accomplished group formation in real time at multi-levels with lower calculation complexity. Due to the fact that uncertainty of measurement space had been mapped to the fuzzy similarity space, the uncertainty of measurement space was resolved using fuzzy match mechanism. In addition it was a reliable approach for space group formation and event detection in battlefield. Simulation results showed that it was efficient to generate group formation for maneuvering target in situation assessment. The time complexity of the algorithm was only O (n2). This approach can be also widely used to solve cluster problem for other types maneuvering target.
关键词：Maneuvering target, space group formation, situation assessment, clustering procedure
