@inproceedings{b3cbd0a052e04eec8dbdf22f86f48214,
title = "A Cluster-Based Distributed State Estimation Method Utilizing Cooperative Target Tracking",
abstract = "Cooperative target tracking in sensor networks involves optimizing tracking performance by leveraging various sensor types. This entails networked communication between sensors to track targets within a designated area. The process also includes harmonizing target estimations and achieving optimal fusion of results. In cluster systems, where nodes monitor each other{\textquoteright}s status, the estimation of a specific node{\textquoteright}s state evolves into a multi-sensor single-target tracking challenge, extending to multi-sensor multi-target tracking. This paper presents an innovative approach to distributed target tracking, using relative position information for fusion, yielding enhanced results. ...",
keywords = "cluster state estimation, multi-sensor tracking, state estimation",
author = "Bangzhao Zhu and Jianglong Yu and Xiwang Dong and Qingdong Li and Zhang Ren",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.; 7th Chinese Conference on Swarm Intelligence and Cooperative Control, CCSICC 2023 ; Conference date: 24-11-2023 Through 27-11-2023",
year = "2024",
doi = "10.1007/978-981-97-3332-3\_57",
language = "英语",
isbn = "9789819733316",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "657--666",
editor = "Jianglong Yu and Qingdong Li and Yumeng Liu",
booktitle = "Proceedings of 2023 7th Chinese Conference on Swarm Intelligence and Cooperative Control - Swarm Perception and Navigation Technologies",
address = "德国",
}