SINS/DVL Integrated Navigation Method With Current Compensation Using RBF Neural Network-Reference-Cited by-同舟云学术

SINS/DVL Integrated Navigation Method With Current Compensation Using RBF Neural Network

Author:

Liu Peijia¹^ORCID,Wang Bo²^ORCID,Li Guanghua³,Hou Dongdong³^ORCID,Zhu Zhengyu¹^ORCID,Wang Zhongyong¹^ORCID

Affiliation:

1. School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou, China

2. School of Automation, Beijing Institute of Technology, Beijing, China

3. Henan Key Laboratory of Underwater Intelligent Equipment, 713th Research Institute, China State Shipbuilding Corporation Ltd., Zhengzhou, China

Funder

Henan Key Research and Development and Promotion Project of China

Key Scientific Research in Universities of Henan Province of China

Technology Project for Innovation Ecosystem Construction of National Supercomputing Zhengzhou Center of China

China Postdoctoral Science Foundation

Henan Postdoctoral Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

Reference35 articles.

3. DVL dead-reckoning navigation method based on beam measurements;liu;Proc Int Conf Guid Navig Control,2020

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