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基于编队结构特征的海面舰船目标关联方法
引用本文:曾昊,王壮. 基于编队结构特征的海面舰船目标关联方法[J]. 火力与指挥控制, 2012, 37(4): 90-93
作者姓名:曾昊  王壮
作者单位:国防科技大学 ATR重点实验室,长沙,410073
摘    要:为综合利用星载光学成像、星载电子侦察数据对海面舰船编队进行监测,提出了一种基于舰船编队结构特征的二次匹配目标关联算法,通过构造加权二分图进行最优匹配求解。仿真结果表明,该方法在目标定位精度差别较大、目标存在漏检测等情况下相比传统关联算法的匹配正确率有较大提高,证明了算法的有效性。

关 键 词:星载光学侦察与电子侦察  编队结构  目标数据关联  最优匹配

A Vessel Targets Association Algorithm Based on the Structure of the Vessels Formation
ZENG Hao , WANG Zhuang. A Vessel Targets Association Algorithm Based on the Structure of the Vessels Formation[J]. Fire Control & Command Control, 2012, 37(4): 90-93
Authors:ZENG Hao    WANG Zhuang
Affiliation:(ATR State Key Lab,National Univ.of Defense Technology,Changsha 410073.China)
Abstract:In order to use the spaceborne optical imaging and electronic reconnaissance data to monitor the vessels formation,this paper proposes a secondary target association matching algorithm based on the structure of the vessels formation,constructing bipartite weighted graph to solve the optimal match problem.Simulation results show that this algorithm delivers better performance compared with the traditional method,in the situation that the target location precision and the target detection rate are low.
Keywords:spaceborne optical imaging and electronic reconnaissance  formation structure  target data association  optimal match
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