ZUPT辅助行人惯性导航中的导航误差分析

A. Shkel, Yusheng Wang
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引用次数: 0

摘要

本章分析了零速度更新(ZUPT)辅助行人惯性导航中由于惯性测量单元(IMU)噪声导致的导航误差。为了更好地了解人体的行走动力学,同时也为后续的数值模拟提供了基础,提出了模拟人体步态的二维生物力学模型。由于人体行走过程中涉及的多个部位之间存在复杂的运动学和动力学关系,因此人体步态模型是多维的。足部运动可以叠加在躯干运动之上,从而得到导航框架中的足部运动。ZUPT辅助导航算法中的导航误差主要来自两个主要来源:系统建模误差和IMU噪声。本章给出了分析的数值和实验验证。ZUPT辅助惯性导航算法消除了行人导航过程中的速度漂移,与无辅助时的导航结果相比,大大降低了整体导航误差。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Navigation Error Analysis in the ZUPT‐Aided Pedestrian Inertial Navigation
This chapter analyzes navigation errors in Zero‐Velocity Update (ZUPT)‐aided pedestrian inertial navigation due to Inertial Measurement Unit (IMU) noises. It presents a 2D biomechanical model to simulate human gait to better understand human walking dynamics and also to serve as the basis for the following numerical simulations. Human ambulatory gait models are multidimensional due to the complex kinematic and dynamic relations between many parts of human body involved during walking. The foot motion can be superimposed on top of the torso motion to obtain the foot motion in the navigation frame. The navigation errors in the ZUPT‐aided navigation algorithm come mainly from two major sources: systematic modeling errors and IMU noises. The chapter presents verification of the analysis both numerically and experimentally. ZUPT‐aided inertial navigation algorithm eliminates the velocity drift during pedestrian navigation, and therefore greatly reduces the overall navigation error compared to the navigation result without any aiding.
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