An Enhanced Smartphone Indoor Positioning Scheme with Outlier Removal Using Machine Learning

An Enhanced Smartphone Indoor Positioning Scheme with Outlier Removal Using Machine Learning

In smartphone indoor positioning, owing to the strong complementarity between pedestrian dead reckoning (PDR) and WiFi, a hybrid fusion scheme of them is drawing more and more attention. However, the outlier of WiFi will easily degrade the performance of the scheme, to remove them, many researches h...

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Bibliographic Details
Main Authors: Zhenbing Zhang, Jingbin Liu, Lei Wang, Guangyi Guo, Xingyu Zheng, Xiaodong Gong, Sheng Yang, Gege Huang
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Remote Sensing
Subjects:
smartphone
indoor positioning
outlier detection and removal
PDR
WiFi
Kalman Filter
Online Access:https://www.mdpi.com/2072-4292/13/6/1106

Internet

https://www.mdpi.com/2072-4292/13/6/1106

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