Next Article in Journal
Bundle Block Adjustment of Airborne Three-Line Array Imagery Based on Rotation Angles
Previous Article in Journal
Spectral Imaging at the Microscale and Beyond
Sensors 2014, 14(5), 8167-8188; doi:10.3390/s140508167

Sensor Saturation Compensated Smoothing Algorithm for Inertial Sensor Based Motion Tracking

Department of Electrical Engineering, University of Ulsan, Mugeo-dong, Namgu, Ulsan 680-749, Korea
* Author to whom correspondence should be addressed.
Received: 11 March 2014 / Revised: 29 April 2014 / Accepted: 29 April 2014 / Published: 6 May 2014
(This article belongs to the Section Physical Sensors)


In this paper, a smoothing algorithm for compensating inertial sensor saturation is proposed. The sensor saturation happens when a sensor measures a value that is larger than its dynamic range. This can lead to a considerable accumulated error. To compensate the lost information in saturated sensor data, we propose a smoothing algorithm in which the saturation compensation is formulated as an optimization problem. Based on a standard smoothing algorithm with zero velocity intervals, two saturation estimation methods were proposed. Simulation and experiments prove that the proposed methods are effective in compensating the sensor saturation.
Keywords: sensor saturation compensation; smoothing algorithm sensor saturation compensation; smoothing algorithm
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

Share & Cite This Article

Further Mendeley | CiteULike
Export to BibTeX |
EndNote |
MDPI and ACS Style

Dang, Q.K.; Suh, Y.S. Sensor Saturation Compensated Smoothing Algorithm for Inertial Sensor Based Motion Tracking. Sensors 2014, 14, 8167-8188.

View more citation formats

Related Articles

Article Metrics

For more information on the journal, click here


[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert