Wi-Fi fingerprinting based on collaborative confidence level training

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Wi-Fi fingerprinting based on collaborative confidence level training

Wi-Fi fingerprinting has been a popular indoor positioning technique with the advantage that infrastructures are readily available in most urban areas. However wireless signals are prone to fluctuation and noise, introducing errors in the final positioning result. This paper proposes a new fingerpri...

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Bibliographic Details
Main Authors:	Jing, Hao, Pinchin, James, Hill, Chris, Moore, Terry
Format:	Article
Published:	Elsevier 2016
Subjects:	Indoor positioning; Wi-Fi fingerprinting; Collaborative positioning
Online Access:	https://eprints.nottingham.ac.uk/33124/

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