A Feature-Aided Multiple Model Algorithm for Maneuvering Target Tracking

作     者：Yiwei Tian Meiqin Liu Senlin Zhang Ronghao Zheng Shanling Dong Yiwei Tian;Meiqin Liu;Senlin Zhang;Ronghao Zheng;Shanling Dong

作者机构：College of Electrical EngineeringZhejiang University National Key Laboratory of Industrial Control TechnologyZhejiang University IEEE National Key Laboratory of Human-Machine Hybrid Augmented IntelligenceXi’an Jiaotong University 

出 版 物：《IEEE/CAA Journal of Automatica Sinica》 (自动化学报（英文版）)

年 卷 期：2024年第11卷第2期

页      面：566-568页

核心收录：

学科分类：080202[工学-机械电子工程] 082403[工学-水声工程] 08[工学] 0802[工学-机械工程] 0824[工学-船舶与海洋工程] 

基　　金：supported by the National Natural Science Foundation of China (62173299, U1909206) the Zhejiang Provincial Natural Science Foundation of China (LZ23F030006) the Joint Fund of Ministry of Education for Pre-research of Equipment (8091B022147) the Fundamental Research Funds for the Central Universities (xtr072022001) 

主　　题：underwater Aided letter 

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.