Robust Sub-Meter Level Indoor Localization With a Single WiFi Access Point—Regression Versus Classification

Robust Sub-Meter Level Indoor Localization With a Single WiFi Access Point—Regression Versus Classification

Precise indoor localization is an increasingly demanding requirement for various emerging applications, like Virtual/Augmented reality and personalized advertising. Current indoor environments are equipped with pluralities of WiFi access points (APs), whose deployment is expected to be massive in th...

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Bibliographic Details
Main Authors: Chenlu Xiang, Shunqing Zhang, Shugong Xu, Xiaojing Chen, Shan Cao, George C. Alexandropoulos, Vincent K. N. Lau
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Indoor localization
deep learning
WiFi
channel state information
logistic regression
Online Access:https://ieeexplore.ieee.org/document/8862951/

Internet

https://ieeexplore.ieee.org/document/8862951/

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