Space group formation algorithm for maneuvering target

被引：0
|
作者：
Guo, Junwen [1 ]
Qin, Zheng [1 ,2 ]
He, Shengping [1 ]
Huang, Hexiao [1 ,3 ]
机构：
[1] School of Electronics and Information Engineering, Xi'an Jiaotong University, Xi'an 710049, China
[2] School of Software, Tsinghua University, Beijing 100084, China
[3] Shanghai Distance Education Group, Shanghai 200433, China
来源：
Qinghua Daxue Xuebao/Journal of Tsinghua University | 2006年 / 46卷 / SUPPL.期
关键词：
Algorithms - Computer simulation - Targets;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
A new group formation algorithm for maneuvering target was proposed. It defined multiple key property similarities by extracting the results of level 1 processing of data fusion and fused to group formation. It realized group formation in real time at multi-levels with lower calculation complexity. Due to the fact that uncertainty of measurement space has been mapped to the fuzzy similarity space, the uncertainty of measurement space was resolved using fuzzy match mechanism. In addition, it was a feasible and 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 also be used to solve cluster problem for maneuvering target of other types.
引用
收藏
页码：1036 / 1040
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