Sensor Saturation Compensated Smoothing Algorithm for Inertial Sensor Based Motion Tracking

Author: Dang Quoc Khanh   Suh Young Soo  

Publisher: MDPI

E-ISSN: 1424-8220|14|5|8167-8188

ISSN: 1424-8220

Source: Sensors, Vol.14, Iss.5, 2014-05, pp. : 8167-8188

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Abstract

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.