A Joint Indoor WLAN Localization and Outlier Detection Scheme Using LASSO and Elastic-Net Optimization Techniques

In this paper, we introduce two indoor Wireless Local Area Network (WLAN) positioning methods using augmented sparse recovery algorithms. These schemes render a sparse user's position vector, and in parallel, minimize the distance between the online measurement and radio map. The overall locali...

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Veröffentlicht in:	IEEE transactions on mobile computing Jg. 16; H. 8; S. 2079 - 2092
Hauptverfasser:	Khalajmehrabadi, Ali, Gatsis, Nikolaos, Pack, Daniel J., Akopian, David
Format:	Magazine Article
Sprache:	Englisch
Veröffentlicht:	Los Alamitos IEEE 01.08.2017 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Clustering algorithms Data analysis Fingerprinting Global Positioning System Indoor positioning Local area networks Localization Mobile computing Optimization techniques outlier detection Outliers (statistics) Position measurement Probabilistic logic Recovery Sensors Signal strength sparse recovery Wireless LAN Wireless networks WLAN fingerprinting
ISSN:	1536-1233, 1558-0660
Online-Zugang:	Volltext
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