Proceedings of the 3rd Annual International Conference on Electronics, Electrical Engineering and Information Science (EEEIS 2017)

Research on UWB Precise Indoor Positioning in Ship Based on Intuitionistic Fuzzy

Authors
Kun ZHANG, Chong SHEN, Qian GAO, Hai-Feng WANG, Yu-Fei WANG
Corresponding Author
Kun ZHANG
Available Online September 2017.
DOI
10.2991/eeeis-17.2017.39How to use a DOI?
Keywords
Intuitive blur; Similarity measures; UWB; Accurate positioning in the room.
Abstract

Based on the related generalization of Vague set algorithm of intuitionistic fuzzy theory, this paper applies it to UWB marine ship precision positioning technology, puts forward new research methods and calculation formulas, and constructs the similarity measure between them and obtains new formula method So that the next step in the OMNET + + network simulation platform to verify the performance of related algorithms, and simulation as an auxiliary means, the actual combination of Hainan EVK 1.0 and follow-up hardware platform testing and implementation.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 3rd Annual International Conference on Electronics, Electrical Engineering and Information Science (EEEIS 2017)
Series
Advances in Engineering Research
Publication Date
September 2017
ISBN
10.2991/eeeis-17.2017.39
ISSN
2352-5401
DOI
10.2991/eeeis-17.2017.39How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Kun ZHANG
AU  - Chong SHEN
AU  - Qian GAO
AU  - Hai-Feng WANG
AU  - Yu-Fei WANG
PY  - 2017/09
DA  - 2017/09
TI  - Research on UWB Precise Indoor Positioning in Ship Based on Intuitionistic Fuzzy
BT  - Proceedings of the 3rd Annual International Conference on Electronics, Electrical Engineering and Information Science (EEEIS 2017)
PB  - Atlantis Press
SP  - 285
EP  - 291
SN  - 2352-5401
UR  - https://doi.org/10.2991/eeeis-17.2017.39
DO  - 10.2991/eeeis-17.2017.39
ID  - ZHANG2017/09
ER  -