A Robust Wi-Fi Fingerprint Positioning Algorithm Using Stacked Denoising Autoencoder and Multi-Layer Perceptron

A Robust Wi-Fi Fingerprint Positioning Algorithm Using Stacked Denoising Autoencoder and Multi-Layer Perceptron

With the increasing demand for location-based services, Wi-Fi-based indoor positioning technology has attracted much attention in recent years because of its ubiquitous deployment and low cost. Considering that Wi-Fi signals fluctuate greatly with time, extracting robust features of Wi-Fi signals is...

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Bibliographic Details
Main Authors: Rongrong Wang, Zhaohui Li, Haiyong Luo, Fang Zhao, Wenhua Shao, Qu Wang
Format: Article
Language:English
Published: MDPI AG 2019-05-01
Series:Remote Sensing
Subjects:
Indoor positioning
feature extraction
regression positioning
stacked denoising autoencoder
multi-layer perceptron
Online Access:https://www.mdpi.com/2072-4292/11/11/1293

Internet

https://www.mdpi.com/2072-4292/11/11/1293

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