NDLI: Fusion of Wi-Fi and bluetooth for indoor localization

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Content Provider	ACM Digital Library
Author	Luo, Haiyong Zhao, Fang Lu, Tao Lu, Bo Wang, Rui
Abstract	The existing localization technology with single mode is limited in accuracy and robustness. To obtain higher accuracy, this paper proposes a novel indoor localization algorithm with WI-FI and Bluetooth. The approach is based on the Bayesian filtering and performs data-level fusion to get the final position estimate. In addition, idea of simulated annealing algorithm is learned into it that makes our algorithm can find the global optimal value in probability. Experimental results demonstrate that the proposed localization algorithm outperforms the single mode localization with accuracy and robustness.
Starting Page	63
Ending Page	66
Page Count	4
File Format	PDF
ISBN	9781450309288
DOI	10.1145/2025876.2025889
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2011-09-18
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Bluetooth Wi-fi Bayesian filtering Multi-mode fusion
Content Type	Text
Resource Type	Article

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Fusion of Wi-Fi and bluetooth for indoor localization