Abstract：Track association of multitarget is one of the key and difficult issue in the space-based optical tracking system. Traditional distributed track association methods rely on three dimension information of the tracks, are no longer applicable to the two dimensional track association issue. Therefore, the hinge angle difference is treated as statistic, a track statistical testing model is constructed, and a global optimization track association algorithm is proposed. Finally, a Monte Carlo simulation of dense targets is done, results show that the proposed algorithm has favorable performance, and can accomplish the passive multisensor multitarget track association task efficiently in dense targets scenario.
盛卫东; 林两魁; 安 玮; 周一宇. 基于全局最优的被动多传感器多目标轨迹关联算法[J]. 电子与信息学报, 2010, 32(7): 1621-1625 .
Sheng Wei-dong; Lin Liang-kui; An Wei; Zhou Yi-yu. A Passive Multisensor Multitarget Track Association Algorithm Based on Global Optimization. , 2010, 32(7): 1621-1625 .
2010, Vol. 32 
