Robust WiFi Localization by Fusing Derivative Fingerprints of RSS and Multiple Classifiers

It is notable that localization accuracy using received signal strength (RSS) fingerprints solely is very vulnerable to dynamic environments. Utilizing multiple fingerprints gleaned from RSS for localization is a propitious strategy to overcome the RSS susceptibility. Brimful utilization via fusing...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IEEE transactions on industrial informatics Jg. 16; H. 5; S. 3177 - 3186
Hauptverfasser:	Guo, Xiansheng, Elikplim, Nkrow Raphael, Ansari, Nirwan, Li, Lin, Wang, Lei
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 01.05.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Classifiers Fingerprint recognition Fingerprints indoor localization Localization Machine learning Machine learning algorithms Optimization Position measurement received signal strength (RSS) Robustness Signal strength Training two-layer fusion profile WiFi Wireless fidelity
ISSN:	1551-3203, 1941-0050
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!