Fingerprinting-Based Indoor Localization With Commercial MMWave WiFi: A Deep Learning Approach

Fingerprinting-Based Indoor Localization With Commercial MMWave WiFi: A Deep Learning Approach

Existing fingerprint-based indoor localization uses either fine-grained channel state information (CSI) from the physical layer or coarse-grained received signal strength indicator (RSSI) measurements. In this paper, we propose to use a mid-grained intermediate-level channel measurement - spatial be...

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Bibliographic Details
Main Authors: Toshiaki Koike-Akino, Pu Wang, Milutin Pajovic, Haijian Sun, Philip V. Orlik
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Indoor localization
WiFi
millimeter wave
fingerprinting
machine learning
deep neural networks
Online Access:https://ieeexplore.ieee.org/document/9081910/

Internet

https://ieeexplore.ieee.org/document/9081910/

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