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...

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Vydané v:	IEEE transactions on industrial informatics Ročník 16; číslo 5; s. 3177 - 3186
Hlavní autori:	Guo, Xiansheng, Elikplim, Nkrow Raphael, Ansari, Nirwan, Li, Lin, Wang, Lei
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 01.05.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	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
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