Knowledge Aided Adaptive Localization via Global Fusion Profile

Indoor localization is becoming critical to empower Internet of Things for various applications, such as asset tracking, geolocation, and smart cities. Wi-Fi-based indoor localization using received signal strength (RSS) has drawn much attention over the past decade because it does not require extra...

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Veröffentlicht in:	IEEE internet of things journal 2018-04, Vol.5 (2), p.1081-1089
Hauptverfasser:	Xiansheng Guo, Lin Li, Ansari, Nirwan, Bin Liao
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptation models Computer simulation Fingerprints Global fusion profile (GFP) indoor localization Internet of Things knowledge aided adaptive localization (KAAL) Localization Position errors received signal strength (RSS) Robustness Signal strength Testing Training Wi-Fi Wireless fidelity
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