Navigation Error Reduction in the ZUPT‐Aided Pedestrian Inertial Navigation

A. Shkel, Yusheng Wang
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引用次数: 2

Abstract

Many error sources contribute to the overall navigation error in the Zero‐Velocity Update (ZUPT)‐aided pedestrian inertial navigation. They can generally be categorized into two groups: errors caused by the inertial measurement unit (IMU) and errors caused by the navigation algorithm. This chapter discusses a few methods that can be implemented in the ZUPT‐aided pedestrian inertial navigation in order to reduce the navigation errors. The ZUPT‐aided pedestrian inertial navigation requires a foot‐mounted IMU to collect data. IMU data are first averaged to reduce the IMU noise and extract parameters, such as length of the stance phase and the shock level during walking. Trajectory orientation drift in the ZUPT‐aided pedestrian inertial navigation is believed to be related to the g‐sensitivity of gyroscopes. Gyroscope g‐sensitivity is the erroneous measurement of a gyroscope in response to the external acceleration.
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ZUPT辅助行人惯性导航中导航误差的减小
在零速度更新(ZUPT)辅助行人惯性导航中,许多误差源导致了总体导航误差。它们一般可以分为两类:惯性测量单元(IMU)引起的误差和导航算法引起的误差。本章讨论了几种可以在ZUPT辅助行人惯性导航中实现的方法,以减少导航误差。ZUPT辅助的行人惯性导航需要安装在脚上的IMU来收集数据。首先对IMU数据进行平均,以降低IMU噪声并提取参数,如站立相位的长度和行走时的冲击水平。在ZUPT辅助行人惯性导航中,轨迹方向漂移被认为与陀螺仪的g灵敏度有关。陀螺仪g灵敏度是陀螺仪响应外部加速度的误差测量。
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Perspective on Pedestrian Inertial Navigation Systems Sensor Fusion Approaches Zero‐Velocity Update Aided Pedestrian Inertial Navigation Index Adaptive ZUPT‐Aided Pedestrian Inertial Navigation
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