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多传感器组合的行人航位推算方法研究

邓林坤 郭杭 罗孝文 田宝连 何海平

现代电子技术2017,Vol.40Issue(12):11-14,4.
现代电子技术2017,Vol.40Issue(12):11-14,4.DOI:10.16652/j.issn.1004-373x.2017.12.003

多传感器组合的行人航位推算方法研究

Research on pedestrian dead reckoning method combined with multiple sensors

邓林坤 1郭杭 2罗孝文 1田宝连 2何海平1

作者信息

  • 1. 南昌大学 信息工程学院,江西 南昌 330031
  • 2. 国家海洋局第二海洋研究所 国家海洋局海底科学重点实验室,浙江 杭州 310012
  • 折叠

摘要

Abstract

An indoor pedestrian dead reckoning(PDR)system with low-cost multiple sensors is proposed,which contains three-axis accelerometer,three-axis gyroscope and three-axis magnetometer based on iPad. Initial alignment based on extended Kalman filter(EKF)is designed for low-cost sensors. The zero velocity update(ZUPT)method combined with magnetometer based on EKF is adopted to solve the problem of position error divergency in the walking process,and correct speed error,gyro error and course angle error by means of accelerometer and magnetometer,so as to achieve the purpose of reducing position er-ror. The experiment results show that the system can better satisfy the requirements of indoor pedestrian positioning,and as for the low-cost multi-sensor,the positioning error is about 2% of the total travelled distance. Compared with the existing PDR sys-tems,the system with low-cost sensors acquires higher positional accuracy.

关键词

扩展卡尔曼滤波/ZUPT/磁力计/行人航位推算

Key words

extended Kalman filter/ZUPT/magnetometer/pedestrian dead reckoning

分类

信息技术与安全科学

引用本文复制引用

邓林坤,郭杭,罗孝文,田宝连,何海平..多传感器组合的行人航位推算方法研究[J].现代电子技术,2017,40(12):11-14,4.

基金项目

国家自然科学基金资助项目(41164001 ()

41374039) ()

现代电子技术

OA北大核心CSTPCD

1004-373X

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