Smartphone-based indoor localization by fusion of acoustic ranging and PDR

Mao PANG; Mei WANG; Xiyu SONG; Liyan LUO; Kun RUAN

doi:10.11959/j.issn.2096-3750.2018.00054

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Smartphone-based indoor localization by fusion of acoustic ranging and PDR

Theory and Technology | 更新时间：2024-06-05

- Smartphone-based indoor localization by fusion of acoustic ranging and PDR
- Chinese Journal on Internet of Things Vol. 2, Issue 2, Pages: 58-64(2018)
- 作者机构：
  
  1. 桂林电子科技大学认知无线电与信息处理省部共建教育部重点实验室，广西桂林 541004
  2. 桂林理工大学，广西桂林 541004
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.2096-3750.2018.00054
  CLC： TP391
- Published：30 June 2018，
  
  Published Online：2018-06，
- 稿件说明：
移动端阅览
MAO PANG, MEI WANG, XIYU SONG, et al. Smartphone-based indoor localization by fusion of acoustic ranging and PDR. [J]. Chinese journal on internet of things, 2018, 2(2): 58-64.
DOI：

MAO PANG, MEI WANG, XIYU SONG, et al. Smartphone-based indoor localization by fusion of acoustic ranging and PDR. [J]. Chinese journal on internet of things, 2018, 2(2): 58-64. DOI： 10.11959/j.issn.2096-3750.2018.00054.

摘要

在室内定位过程中，针对行人航迹推算（PDR

pedestrian dead reckoning）算法中惯性传感器的累积误差随时间增大的问题，提出一种基于智能手机的声波测距与PDR融合的室内定位方法。首先，利用PDR进行位置推算，然后，利用声波测量手机与墙之间的距离，结合已知的室内地图信息，对 PDR 中的累积误差进行纠正。在不需要布置任何节点的条件下，实现长时间稳定的室内定位。为解决长距离条件下墙体反射的回波信号难以检测的问题，利用智能手机内置双麦克风的特点，采用波束成形的方法，对目标墙体反射的回波进行信号增强，增大了声波测距的有效测量距离，从而扩大了所提定位方法的应用范围。实验结果表明，所提融合定位方法的平均定位误差为0.427 m，与单独使用PDR的定位结果相比，平均定位误差降低了2.748 m。

Abstract

A novel indoor localization algorithm that integrates acoustic ranging and pedestrian dead reckoning (PDR) algorithm was presented

to reduce the accumulated error of the inertial sensors in the process of indoor positioning using PDR.Firstly

the PDR was used for position estimation.Then

the distance between the mobile phone and the wall was measured by using sound waves

and the cumulative error in the PDR was corrected by combining the above position and the distance with the known indoor map information.Hence

long-term stable indoor positioning can be achieved without laying out any nodes.In order to solve the problem that the echo signals reflected by the wall under long-distance conditions were difficult to detect

signal enhancement on the echoes reflected from the target wall was performed by using beamforming

taking advantage of the characteristics of the built-in dual microphones in the smartphone

then the effective measurement distance was increased and the application range of the proposed method was expanded.Experimental results show that the average positioning error of the proposed fusion localization method is 0.427 m.Compared with the results of using PDR alone

the average positioning error is reduced by 2.748 m.

关键词

室内定位声波测距PDR波束成形智能手机

Keywords

indoor localizationacoustic rangingPDRbeamformingsmartphone

references

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