下向距离传感器辅助下的足载惯性导航系统零速度检测器

Chi-Shih Jao, Yusheng Wang, A. Shkel
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引用次数: 12

摘要

在本文中,我们提出了一种零速度检测器,称为超声辅助姿态假设最优检测(UA-SHOE),用于脚载惯性导航系统(INS),由一个向下的距离传感器辅助。该检测器是在广义似然比检验(GLRT)框架下推导出来的。我们将所提出的UA-SHOE检测器与两种已知且常用的方法(姿态假设最优检测(SHOE)检测器[1]和超声仅姿态相位检测(USPD)检测器[2])的有效性进行了比较。利用导航结果的圆概率误差(CEP)和均方根误差(RMSE)对三种检测器进行了评价。步行和跑步的实验结果表明,UA-SHOE检测器与USPD检测器相比,误差分别提高了27.5%和11.3%。实验结果还表明,在步行情况下,UA-SHOE检测器的均方根误差与常用的SHOE检测器具有相当的精度,在跑步实验中,该检测器的均方根误差优于SHOE检测器50%以上。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Zero Velocity Detector for Foot-mounted Inertial Navigation Systems Aided by Downward-facing Range Sensor
In this paper, we propose a zero velocity detector, referred to as the Ultrasound-Aided Stance Hypothesis Optimal dEtection (UA-SHOE), for foot-mounted Inertial Navigation Systems (INS) aided by a downward-facing range sensor. The proposed detector is derived mathematically in a Generalized Likelihood Ratio Test (GLRT) framework. We compare the effectiveness of the proposed UA-SHOE detector with two known and commonly used approaches, the Stance Hypothesis Optimal dEtection (SHOE) detector [1] and the Ultrasonic-only Stance Phase Detection (USPD) detector [2]. The Circular Error Probable (CEP) and the Root Mean Square Error (RMSE) of the navigation results are used to evaluate the three detectors. The experimental results of walking and running cases showed that the UA-SHOE detector improved errors by 27.5% and 11.3%, as compared to the USPD detector. The experimental results also illustrated that the RMSEs of the proposed UA-SHOE detector had a comparable accuracy to the commonly used SHOE detector in the walking case and outperformed the SHOE detector by more than 50% in the running experiments.
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