Integrated WiFi/PDR/Smartphone using an unscented Kalman filter algorithm for 3D indoor localization

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Integrated WiFi/PDR/Smartphone using an unscented Kalman filter algorithm for 3D indoor localization

Because of the high calculation cost and poor performance of a traditional planar map when dealing with complicated indoor geographic information, a WiFi fingerprint indoor positioning system cannot be widely employed on a smartphone platform. By making full use of the hardware sensors embedded in t...

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Bibliographic Details
Main Authors:	Chen, Guoliang, Meng, Xiaolin, Wang, Yunjia, Zhang, Yanzhe, Tian, Peng
Format:	Article
Published:	MDPI 2015
Subjects:	Indoor localization; WiFi/PDR; Clustering; Auto-correlation analysis; Unscented Kalman Filter; Unity 3D
Online Access:	https://eprints.nottingham.ac.uk/35629/

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