测绘通报 ›› 2018, Vol. 0 ›› Issue (9): 8-12.doi: 10.13474/j.cnki.11-2246.2018.0270

• 学术研究 • 上一篇    下一篇

结合手机惯性传感器的地下定位算法研究

袁德宝, 张帆宇扬, 周振青, 梁晨   

  1. 中国矿业大学(北京)地球科学与测绘工程学院, 北京 100083
  • 收稿日期:2018-05-17 出版日期:2018-09-25 发布日期:2018-09-29
  • 作者简介:袁德宝(1976-),男,博士,副教授,研究方向为卫星导航与定位。E-mail:yuandb@cumtb.edu.cn
  • 基金资助:

    国家自然科学基金(50974122)

Research on Underground Positioning Algorithm Based on Inertial Sensors

YUAN Debao, ZHANG Fanyuyang, ZHOU Zhenqing, LIANG Chen   

  1. College of Geoscience and Surveying Engineering, China University of Mining and Technology, Beijing, Beijing 100083, China
  • Received:2018-05-17 Online:2018-09-25 Published:2018-09-29

摘要:

由于地下环境无导航卫星系统定位信号,导致地面常用的定位方法无法在地下空间内使用,而传统利用手机惯性传感器进行航位推算,往往需要固定手机姿态或联合其他无线定位方式来对步态及定位累积误差进行识别校正。为方便人们使用,减少额外硬件布置,避免无线信号间出现干扰,本文通过对步态检测算法进行改进,消除手机姿态对识别步态信息的影响,同时利用地下空间人们行走路径较为规则这一特点,提出了以路径的方向为特征对累积误差进行校正。选取了教学楼地下一层为试验区,结果显示当采样频率为50 Hz时,平均定位误差在2 m以内。

关键词: 手机, 惯性传感器, 地下定位, 累积误差

Abstract:

Positioning signals in the underground environment without navigation satellite system leads to common ground location methods which can not be used in underground space.Traditional dead reckoning by cell phone usually requires fixed its attitude or combined with other wireless location methods to correct gait and positioning error.In order to facilitate people to use,reduce the extra hardware layout and avoid interference between wireless signals,this paper improves the gait detection algorithm to eliminate the influence of cell attitude on gait information and takes advantage of the characteristics of people walking path in underground space.The cumulative error is corrected based on the direction of the path,and good results are achieved.This paper selects the ground floor of the teaching building as the experimentation area.When the sampling frequency is 50 Hz,the average positioning error is less than 2 m.

Key words: cell phone, inertial sensor, underground positioning, cumulative error

中图分类号: