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Improved Pedestrian Dead Reckoning Based on a Robust Adaptive Kalman Filter for Indoor Inertial Location System

Qigao Fan1, Hai Zhang2, Peng Pan3

  • 1Internet of Things Engineering, Jiangnan University, Wuxi 214000, China. qgfan@jiangnan.edu.cn.

Sensors (Basel, Switzerland)
|January 16, 2019
PubMed

Keywords:
MEMS-IMUimproved pedestrian dead reckoningindoor inertial positioningrobust adaptive Kalman filter

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