A Single-Platform Multi-Sensor Ground Target Tracking Algorithm

被引：0
|
作者：
Wu, Meng-Jie [1 ,2 ]
Wang, Yong-Ting [1 ,2 ]
机构：
[1] Sci & Technol Electroopt Control Lab, Luoyang 471000, Peoples R China
[2] Luoyang Inst Electroopt Equipment Avic, Luoyang 471000, Peoples R China
来源：
2018 IEEE CSAA GUIDANCE, NAVIGATION AND CONTROL CONFERENCE (CGNCC) | 2018年
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
For improving the platform tracking performance, the ground target tracking fusion based on platform-level multi-source heterogeneous sensors was studied. The association of the target's state information was built using gray algorithms, and then the results were further tested by the recognition confidence of target type using evidence theory. Additionally, with assistance of road information, the ground target tracking model sets and filter are designed for the tracking. The effectiveness of the algorithm was verified by simulation.
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页数：5
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