Proceedings of the 2019 International Conference on Computer, Network, Communication and Information Systems (CNCI 2019)

Indoor Localization Based on CFR Environment Awareness

Authors
Xinyu Huang, Bo He
Corresponding Author
Xinyu Huang
Available Online May 2019.
DOI
10.2991/cnci-19.2019.23How to use a DOI?
Keywords
Indoor localization, Convolution Neural Network, phase difference, amplitude, CFR.
Abstract

Accurate amplitude information provides the possibility for indoor localization, it is easy to acquire and does not require complex corrections like phase. However, the amplitude information is sensitive to the environment, which reduces the localization accuracy. This paper proposes an indoor localization method based on environment awareness. First, using the variance of phase difference to judge whether there is anyone walking in the environment. Second, we create amplitude images as the input to Convolution Neural Network without the person walking to train localization model in the offline. Third, online localization using localization model.

Copyright
© 2019, 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 2019 International Conference on Computer, Network, Communication and Information Systems (CNCI 2019)
Series
Advances in Computer Science Research
Publication Date
May 2019
ISBN
10.2991/cnci-19.2019.23
ISSN
2352-538X
DOI
10.2991/cnci-19.2019.23How to use a DOI?
Copyright
© 2019, 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  - Xinyu Huang
AU  - Bo He
PY  - 2019/05
DA  - 2019/05
TI  - Indoor Localization Based on CFR Environment Awareness
BT  - Proceedings of the 2019 International Conference on Computer, Network, Communication and Information Systems (CNCI 2019)
PB  - Atlantis Press
SP  - 163
EP  - 166
SN  - 2352-538X
UR  - https://doi.org/10.2991/cnci-19.2019.23
DO  - 10.2991/cnci-19.2019.23
ID  - Huang2019/05
ER  -