Indoor Localization Based on CFR Environment Awareness

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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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  -