基于跟踪状态监视的稳健航迹关联与融合算法

董凯; 王海鹏; 刘瑜

doi:doi:10.3969/j.issn.1671-637x.2015.01.002

电光与控制, 2015, 22 (1): 6, 网络出版: 2015-01-13

基于跟踪状态监视的稳健航迹关联与融合算法

Robust Track Association and Fusion Algorithm with Tracking State Monitoring

论文大纲

董凯王海鹏刘瑜

作者单位

海军航空工程学院信息融合研究所, 山东烟台 264001

航迹关联航迹融合跟踪状态监视空间邻近目标 track association track fusion tracking state monitoring Closely Spaced Objects(CSO)

摘要

空间邻近目标跟踪过程中存在航迹交错现象,传统的航迹关联与融合算法可靠性大大降低。提出基于跟踪状态监视的稳健航迹关联与融合跟踪算法:首先,采用滑窗式全局最优关联方法利用多帧航迹数据确认航迹关联对,并建立系统航迹;然后,根据确认关联航迹的实时关联状态检测航迹交错;最后,根据航迹衰减残差识别运动状态,自适应选择融合量测或者融合状态估计完成系统航迹的状态更新。仿真结果表明,算法能够提高融合航迹精度,实现稳健航迹关联与融合。

Abstract

There exists track swap when tracking closely spaced targets,which may decrease the reliability of traditional track association and fusion algorithms greatly.Thus we proposed a robust track association and fusion algorithm with tracking state monitoring.Firstly,a sliding window global optimum association was adopted to ascertain associated track pair and establish system tracks with multiple frame track data.Then the real-time association relation of associated track pair was used to detect track swap.Lastly,track attenuated residual was used to identify maneuver in order to select the fused measurements or fused state estimation adaptively in updating state of system tracks.Simulation result shows that the proposed algorithm can improve accuracy of fusion tracks and realize robust track association and fusion.

参考文献

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董凯, 王海鹏, 刘瑜. 基于跟踪状态监视的稳健航迹关联与融合算法[J]. 电光与控制, 2015, 22(1): 6. DONG Kai, WANG Hai-peng, LIU Yu. Robust Track Association and Fusion Algorithm with Tracking State Monitoring[J]. Electronics Optics & Control, 2015, 22(1): 6.

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