A universal Wi-Fi fingerprint localization method based on machine learning and sample differences

A universal Wi-Fi fingerprint localization method based on machine learning and sample differences

Abstract Wi-Fi technology has become an important candidate for localization due to its low cost and no need of additional installation. The Wi-Fi fingerprint-based positioning is widely used because of its ready hardware and acceptable accuracy, especially with the current fingerprint localization...

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Bibliographic Details
Main Authors: Xiaoxiang Cao, Yuan Zhuang, Xiansheng Yang, Xiao Sun, Xuan Wang
Format: Article
Language:English
Published: SpringerOpen 2021-12-01
Series:Satellite Navigation
Subjects:
Fingerprint-based positioning
Sample difference
Binary-classification
Boosting
Machine learning
Wi-Fi positioning
Online Access:https://doi.org/10.1186/s43020-021-00058-8

Internet

https://doi.org/10.1186/s43020-021-00058-8

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