A 3D indoor positioning system based on low-cost MEMS sensors

Lingxiang Zheng; Wencheng Zhou; Weiwei Tang; Xianchao Zheng; Ao Peng; Huiru Zheng

doi:10.1016/j.simpat.2016.01.003

A 3D indoor positioning system based on low-cost MEMS sensors

Lingxiang Zheng, Wencheng Zhou, Weiwei Tang, Xianchao Zheng, Ao Peng, Huiru Zheng

Research output: Contribution to journal › Article

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Original language	English
Pages (from-to)	45-56
Journal	Simulation Modelling Practice and Theory
Volume	65
Early online date	19 Feb 2016
DOIs	https://doi.org/10.1016/j.simpat.2016.01.003
Publication status	E-pub ahead of print - 19 Feb 2016

Keywords

Indoor positioning
ZUPT
Kalman filter
MEMS

Cite this

Zheng, L., Zhou, W., Tang, W., Zheng, X., Peng, A., & Zheng, H. (2016). A 3D indoor positioning system based on low-cost MEMS sensors. Simulation Modelling Practice and Theory, 65, 45-56. https://doi.org/10.1016/j.simpat.2016.01.003

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title = "A 3D indoor positioning system based on low-cost MEMS sensors",

keywords = "Indoor positioning, ZUPT, Kalman filter, MEMS",

author = "Lingxiang Zheng and Wencheng Zhou and Weiwei Tang and Xianchao Zheng and Ao Peng and Huiru Zheng",

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AU - Zheng, Lingxiang

AU - Zhou, Wencheng

AU - Tang, Weiwei

AU - Zheng, Xianchao

AU - Peng, Ao

AU - Zheng, Huiru

PY - 2016/2/19

Y1 - 2016/2/19

KW - Indoor positioning

KW - ZUPT

KW - Kalman filter

KW - MEMS

U2 - 10.1016/j.simpat.2016.01.003

DO - 10.1016/j.simpat.2016.01.003

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JO - Simulation Modelling Practice and Theory

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SN - 1569-190X

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Access to Document

10.1016/j.simpat.2016.01.003

A 3D Indoor Positioning System Based on Low-Cost MEMS SensorsAccepted author manuscript, 1.98 MB