Feature Fusion Using Stacked Denoising Auto-Encoder and GBDT for Wi-Fi Fingerprint-Based Indoor Positioning

Feature Fusion Using Stacked Denoising Auto-Encoder and GBDT for Wi-Fi Fingerprint-Based Indoor Positioning

It may be very difficult to receive the signals from satellite positioning systems due to the existing obstacles in indoor environment. Arising from the popularity of smart phones, Wi-Fi based indoor positioning technology has the advantages with convenient deployment and low hardware cost. In this...

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Bibliographic Details
Main Authors: Hua Zhang, Biao Hu, Shiqi Xu, Bi Chen, Mian Li, Bo Jiang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Indoor positioning
Wi-Fi fingerprint
feature fusion
stacked denoising auto-encoder
multi-task learning
gradient boosting decision tree
Online Access:https://ieeexplore.ieee.org/document/9121970/

Internet

https://ieeexplore.ieee.org/document/9121970/

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