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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Veröffentlicht in:	Remote sensing (Basel, Switzerland) Jg. 11; H. 11; S. 1293
Hauptverfasser:	Wang, Rongrong, Li, Zhaohui, Luo, Haiyong, Zhao, Fang, Shao, Wenhua, Wang, Qu
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.06.2019
Schlagworte:	Accuracy Algorithms Artificial intelligence Communications networks Data collection Datasets Deep learning Feature extraction Fingerprints Indoor positioning International conferences Localization Location based services Machine learning multi-layer perceptron Multilayer perceptrons Neural networks Noise reduction Position (location) Regression analysis Regression models regression positioning Remote sensing Robustness stacked denoising autoencoder Teaching methods Training Wireless networks Beijing China New York United States > US China
ISSN:	2072-4292, 2072-4292
Online-Zugang:	Volltext
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