Quaternion-Based Unscented Kalman Filter for Accurate Indoor Heading Estimation Using Wearable Multi-Sensor System

Quaternion-Based Unscented Kalman Filter for Accurate Indoor Heading Estimation Using Wearable Multi-Sensor System

Inertial navigation based on micro-electromechanical system (MEMS) inertial measurement units (IMUs) has attracted numerous researchers due to its high reliability and independence. The heading estimation, as one of the most important parts of inertial navigation, has been a research focus in this f...

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Bibliographic Details
Main Authors: Xuebing Yuan, Shuai Yu, Shengzhi Zhang, Guoping Wang, Sheng Liu
Format: Article
Language:English
Published: MDPI AG 2015-05-01
Series:Sensors
Subjects:
quaternion
unscented Kalman filter
heading estimation
indoor navigation
wearable
multi-sensor
Online Access:http://www.mdpi.com/1424-8220/15/5/10872

Internet

http://www.mdpi.com/1424-8220/15/5/10872

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