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Track-to-track association algorithm for passive multisensor system based on trajectory parameter
M. Ma; D. Wang; T. Zhang and H. Sun
2021
发表期刊IET Radar, Sonar and Navigation
ISSN17518784
卷号15期号:4页码:348-358
摘要Asynchronous sampling and the ghost point are significant issues in the track-to-track association (TTTA) for passive multisensor system. A TTTA algorithm is proposed based on a trajectory parameter to address these issues. According to advantages in which the trajectory information can represent the target motion state and will not change with the sampling time, we turn the TTTA problem into the trajectory parameter matching problem. First, a TTTA model is established by the heading angle and the target velocity. Then, an estimation of target velocity that is suitable for asynchronous sampling is modelled using trajectory parameters from different sensors. Furthermore, to avoid the ghost point in the data association, we use only the bearing measurement of a single sensor to derive the trajectory parameters. Finally, an assignment method is adopted to determine the correspondence between different tracks. The simulation results demonstrate the effectiveness of the proposed method compared with competing algorithms. 2021 The Authors. IET Radar, Sonar & Navigation published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technology.
DOI10.1049/rsn2.12040
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收录类别SCI ; EI
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被引频次:2[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ciomp.ac.cn/handle/181722/65710
专题中国科学院长春光学精密机械与物理研究所
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M. Ma,D. Wang,T. Zhang and H. Sun. Track-to-track association algorithm for passive multisensor system based on trajectory parameter[J]. IET Radar, Sonar and Navigation,2021,15(4):348-358.
APA M. Ma,D. Wang,&T. Zhang and H. Sun.(2021).Track-to-track association algorithm for passive multisensor system based on trajectory parameter.IET Radar, Sonar and Navigation,15(4),348-358.
MLA M. Ma,et al."Track-to-track association algorithm for passive multisensor system based on trajectory parameter".IET Radar, Sonar and Navigation 15.4(2021):348-358.
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