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基于声波测距与PDR融合的手机室内定位方法
Smartphone-based indoor localization by fusion of acoustic ranging and PDR
- 物联网学报 2018年2卷第2期 页码：58-64
- 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：
[ "庞茂（1990-），男，桂林电子科技大学硕士生，主要研究方向为位置感知与协同定位。" ]
[ "王玫（1963-），女，桂林理工大学教授、博士生导师，主要研究方向为位置感知与协同定位、传感器网络、能效优化。" ]
[ "宋浠瑜（1984-），女，桂林电子科技大学博士生，主要研究方向为声源定位、声学场景重构与分析。" ]
[ "罗丽燕（1987-），女，博士，桂林电子科技大学讲师，主要研究方向为协同定位、智能感知信息处理。" ]
[ "阮琨（1993-），男，桂林电子科技大学硕士生，主要研究方向为位置感知与协同定位。" ]
- 基金信息：国家自然科学基金资助项目;The National Natural Science Foundation of China(61771151);广西重点基金资助项目;Key Funding Projects of Guangxi(AB17292058);广西信息科学实验中心平台建设基金资助项目;Guangxi Information Science Experiment Center Platform Construction Project(PT1604);广西自然科学基金资助项目;Guangxi Natural Science Foundation of China(2016GXNSFBA38014);中国博士后科学基金资助项目;China Postdoctoral Science Foundation Projects(2016M602921XB);广西研究生教育创新计划基金资助项目;Innovation Project of Foundation Guangxi Graduate Education(YCSW2017137)
DOI：10.11959/j.issn.2096-3750.2018.00054
中图分类号： TP391纸质出版日期：2018-06-30，
网络出版日期：2018-06，
- 稿件说明：
移动端阅览
庞茂, 王玫, 宋浠瑜, 等. 基于声波测距与PDR融合的手机室内定位方法[J]. 物联网学报, 2018,2(2):58-64.
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.
庞茂, 王玫, 宋浠瑜, 等. 基于声波测距与PDR融合的手机室内定位方法[J]. 物联网学报, 2018,2(2):58-64. DOI： 10.11959/j.issn.2096-3750.2018.00054.
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
CORREA A, LLADO M B, MORELL A ,et al. Indoor pedestrian tracking by on-body multiple receivers[J]. IEEE Sensors Journal, 2016,16(8): 2545-2553.
BORDOY J, WENDEBERG J, SCHINDELHAUER C ,et al. Single transceiver device-free indoor localization using ultrasound body reflections and walls[C]// International Conference on Indoor Positioning and Indoor Navigation. 2015: 1-7.
LI W L, ILTIS R A, WIN M Z . A smartphone localization algorithm using RSSI and inertial sensor measurement fusion[C]// Global Communications Conference. 2014: 3335-3340.
RUIZ A R J, GRANJA F S, HONORATO J C P ,et al. Accurate pedestrian indoor navigation by tightly coupling foot-mounted IMU and RFID measurements[J]. IEEE Transactions on Instrumentation ＆Measurement, 2012,61(1): 178-189.
KIM Y, SHIN H, CHA H . Smartphone-based Wi-Fi pedestrian-tracking system tolerating the RSS variance problem[C]// IEEE International Conference on Pervasive Computing and Communications. 2012: 11-19.
BOURIMI M, MAU G, STEINMANN S ,et al. A privacy-respecting indoor localization approach for identifying shopper paths by using end-users mobile devices[C]// Eighth International Conference on Information Technology:New Generations. 2011: 139-144.
ELLOUMI W, GUISSOUS K, CHETOUANI A ,et al. Indoor navigation assistance with a smartphone camera based on vanishing points[C]// International Conference on Indoor Positioning and Indoor Navigation. 2014: 1-9.
PENG C, SHEN G, ZHANG Y . BeepBeep:a high-accuracy acoustic-based system for ranging and localization using COTS devices[J]. ACM Transactions on Embedded Computing Systems, 2012,11(1): 1-29.
AYLLÓN D, SÁNCHEZ-HEVIA H GIL-PITA R ,et al. Indoor blind localization of smartphones by means of sensor data fusion[C]// Sensors Applications Symposium. 2015: 1-6.
DIBIASE J H, SILVERMAN H F, BRANDSTEIN M S . Robust localization in reverberant rooms[J]. Microphone Arrays Signal Processing Techniques ＆ Applications, 2001: 157-180.
BENESTY J, CHEN J, HUANG Y . Microphone array signal processing[J]. Journal of the Acoustical Society of America, 2008,125(6): 4097-4098.
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