Adaptive federated filter–combined navigation algorithm based on observability sharing factor for maritime autonomous surface ships-Reference-Cited by-同舟云学术

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Adaptive federated filter–combined navigation algorithm based on observability sharing factor for maritime autonomous surface ships

Published:2024-01-22 Issue:2 Volume:23 Page:98-112
ISSN:2046-4177
Container-title:Journal of Marine Engineering & Technology
language:en
Short-container-title:Journal of Marine Engineering & Technology

Author:

Guo Muzhuang¹,Zhou Xiaomin¹,Guo Chen²,Liu Yuanchang³,Zhang Chuang¹,Bai Weiwei¹

Affiliation:

1. Navigation College, Dalian Maritime University, Dalian, People’s Republic of China

2. Marine Engineering College, Dalian Maritime University, Dalian, People’s Republic of China

3. Department of Mechanical Engineering, University College London, London, UK

Funder

National Nature Science Foundation of China

Dalian maritime university

in part by the Joint Training Fund

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/20464177.2024.2305721

Reference40 articles.

1. Cubature Kalman Filters

2. H∞-robustness of adaptive filters against measurement noise and parameter drift

3. Holistic Approach of Integrated Navigation Equipment for Cybersecurity at Sea

4. Federated Kalman Filter Simulation Results

5. Multi-sensor optimal data fusion for INS/GPS/SAR integrated navigation system

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Hazard identification and risk analysis of maritime autonomous surface ships: A systematic review and future directions;Ocean Engineering;2024-09

2. A long short term memory network-based, global navigation satellite system/inertial navigation system for unmanned surface vessels;Journal of Marine Engineering & Technology;2024-03-28

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