zupt辅助行人惯性导航系统误差补偿

Yusheng Wang, Yu-Wei Lin, Sina Askari, Chi-Shih Jao, A. Shkel
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引用次数: 16

摘要

提出了一种zupt辅助行人惯性导航系统误差识别与补偿方法。我们考虑了导致轨迹长度低估和轨迹航向漂移的两大类系统误差。在本研究中,我们确定了导致轨迹长度和航向误差的主要因素分别是陀螺仪在姿态相位的剩余速度和g灵敏度误差。利用磁运动跟踪系统记录足部在站立阶段的运动速度。使用速率表、倾斜表和摇床来校准IMU的g灵敏度。补偿后,在100米直线弹道中,从3.24米到0.50米,系统误差降低了6倍以上。据我们所知,这项研究是第一次尝试在不增加额外传感模式的情况下减少zupt辅助行人惯性导航算法的系统误差。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Compensation of Systematic Errors in ZUPT-Aided Pedestrian Inertial Navigation
We present a method to identify and compensate systematic errors in the ZUPT-aided pedestrian inertial navigation. We considered two main categories of systematic errors resulting in an underestimate of the length of the trajectory and a drift in the heading of the trajectory. In this study, we identified the dominant factors resulting in the trajectory length and heading errors to be residual velocity during the stance phase and g-sensitivity error of the gyroscopes, respectively. Magnetic motion tracking system was used to record the velocity of the foot during the stance phase. Rate table, tilt table, and shaker were used to calibrate the IMU g-sensitivity. After compensation, a more than $6\times$ systematic error reduction was demonstrated from 3.24m to 0.50m during a 100m straight line trajectory. To the best of our knowledge, this study is the first attempt to reduce the systematic errors in the ZUPT-aided pedestrian inertial navigation algorithmically, without adding extra sensing modalities.
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