DocumentCode :
2032639
Title :
Indoor positioning method integrating pedestrian Dead Reckoning with magnetic field and WiFi fingerprints
Author :
Ban, Ryoji ; Kaji, Katsuhiko ; Hiroi, Kei ; Kawaguchi, Nobuo
Author_Institution :
Grad. Sch. of Eng., Nagoya Univ., Nagoya, Japan
fYear :
2015
fDate :
20-22 Jan. 2015
Firstpage :
167
Lastpage :
172
Abstract :
In this paper, we propose a high accuracy indoor positioning method that uses residual magnetism in addition to Pedestrian Dead Reckoning (PDR) and WiFi-based localization methods. Our proposed method needs WiFi and magnetic field fingerprints, which are created by measuring in advance the WiFi radio waves and the magnetic field in the target map. The fingerprints are represented by a Gaussian Mixture Models (GMMs) to reduce the amount of computation. Our proposed method estimates positions by comparing the pedestrian sensor and fingerprint values by particle filters. We evaluated this method in real environments and confirmed that it provides accurate indoor positioning with a mean error less than 8 m and more accurate position detection than existing techniques.
Keywords :
Gaussian processes; indoor navigation; particle filtering (numerical methods); wireless LAN; wireless sensor networks; Gaussian mixture models; WiFi radio waves; WiFi-based localization methods; indoor positioning method; magnetic field fingerprints; particle filters; pedestrian dead reckoning; residual magnetism; Acceleration; Accuracy; Estimation; IEEE 802.11 Standards; Legged locomotion; Magnetic resonance imaging; Magnetic separation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mobile Computing and Ubiquitous Networking (ICMU), 2015 Eighth International Conference on
Conference_Location :
Hakodate
Type :
conf
DOI :
10.1109/ICMU.2015.7061061
Filename :
7061061
Link To Document :
بازگشت