A Feature-Aided Multiple Model Algorithm for Maneuvering Target Tracking

被引：0
|
作者：
Yiwei Tian [1 ,2 ]
Meiqin Liu [3 ,4 ,1 ]
Senlin Zhang [3 ,1 ,2 ]
Ronghao Zheng [3 ,1 ,2 ]
Shanling Dong [3 ,1 ,2 ]
机构：
[1] the College of Electrical Engineering, Zhejiang University
[2] the National Key Laboratory of Industrial Control Technology, Zhejiang University
[3] IEEE
[4] the National Key Laboratory of Human-Machine Hybrid Augmented Intelligence, Xi’an Jiaotong University
来源：
IEEE/CAA Journal of Automatica Sinica | 2024年 / 11卷 / 02期
基金：
中央高校基本科研业务费专项资金资助; 中国国家自然科学基金;
关键词：
D O I：
暂无
中图分类号：
TP212.9 [传感器的应用]; TN929.3 [水下通信（声纳通信）];
学科分类号：
080202 ; 082403 ;
摘要：
Dear Editor,This letter deals with the tracking problem for non-cooperative maneuvering targets based on the underwater sensor networks. Considering the acoustic intensity feature of underwater targets, a feature-aided multi-model tracking method for maneuvering targets is proposed.
引用
收藏
页码：566 / 571
页数：6
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