Sensor Saturation Compensated Smoothing Algorithm for Inertial Sensor Based Motion Tracking

作     者：Quoc Khanh Dang Suh, Young Soo 

作者机构：Univ Ulsan Dept Elect Engn Ulsan 680749 South Korea 

出 版 物：《SENSORS》 (传感器)

年 卷 期：2014年第14卷第5期

页      面：8167-8188页

核心收录：

学科分类：0710[理学-生物学] 071010[理学-生物化学与分子生物学] 0808[工学-电气工程] 07[理学] 0804[工学-仪器科学与技术] 0703[理学-化学] 

基　　金：Hyundai Heavy Industries for University of Ulsan 

主　　题：sensor saturation compensation smoothing algorithm 

摘      要：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.