A Feature-Aided Multiple Model Algorithm for Maneuvering Target Tracking

Yiwei Tian

doi:10.1109/JAS.2023.123939

A Feature-Aided Multiple Model Algorithm for Maneuvering Target Tracking

2024-02-01

0

OA

AI

DOI：10.1109/JAS.2023.123939

原文链接

原文求助

摘要

En 中文

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. Specifically, at each node, direction of arrival (DOA) estimation and model selection is performed, and information is fused in the central node where multi-model-based tracking is realized to closely monitor the target. Simulation results show that our proposed method is capable of rapidly responding to model switching and significantly improve the accuracy of maneuvering target tracking.

Keyword:

SYSTEMS

A Feature-Aided Multiple Model Algorithm for Maneuvering Target Tracking

摘要

期刊

机构