Heading estimation fusing inertial sensors and landmarks for indoor navigation using a smartphone in the pocket

Abstract Principal component analysis (PCA)-based approach for user heading estimation using a smartphone in the pocket suffers from an inaccurate estimation of device attitude, which plays a central role in both obtaining acceleration signals in the horizontal plane and the ultimate global walking...

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Detalhes bibliográficos
Main Authors: Zhian Deng, Weijian Si, Zhiyu Qu, Xin Liu, Zhenyu Na
Formato: Artigo
Idioma:Inglês
Publicado em: SpringerOpen 2017-09-01
Colecção:EURASIP Journal on Wireless Communications and Networking
Assuntos:
Indoor navigation
User heading estimation
Unscented Kalman filter
Principal component analysis (PCA)
Acesso em linha:http://link.springer.com/article/10.1186/s13638-017-0941-0
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