A Novel Indoor Positioning System Using Kernel Local Discriminant Analysis in Internet-of-Things

WLAN based localization is a key technique of location-based services (LBS) indoors. However, the indoor environment is complex; received signal strength (RSS) is highly uncertain, multimodal, and nonlinear. The traditional location estimation methods fail to provide fair estimation accuracy under t...

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Veröffentlicht in:	Wireless communications and mobile computing 2018-01, Vol.2018 (2018), p.1-9
Hauptverfasser:	Imran, Sajida, Ko, Young-Bae
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Anomalies Data analysis Discriminant analysis Feature extraction Indoor environments Infrastructure Internet of Things Kernels Local area networks Localization Location based services Methods Network interface cards Nonlinearity Outliers (statistics) Signal strength Social research Wireless networks
Online-Zugang:	Volltext
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