WLAN-Based Pedestrian Tracking Using Particle Filters and Low-Cost MEMS Sensors

Author

Wang, Hui ; Lenz, Henning ; Szabo, Andrei ; Bamberger, Joachim ; Hanebeck, Uwe D.

Author_Institution

Siemens AG, Munich

fYear

2007

fDate

22-22 March 2007

Firstpage

1

Lastpage

7

Abstract

Indoor positioning systems based on wireless LAN (WLAN) are being widely investigated in academia and industry. Meanwhile, the emerging low-cost MEMS sensors can also be used as another independent positioning source. In this paper, we propose a pedestrian tracking framework based on particle filters, which extends the typical WLAN-based indoor positioning systems by integrating low-cost MEMS accelerometer and map information. Our simulation and real world experiments indicate a remarkable performance improvement by using this fusion framework.

Keywords

accelerometers; indoor communication; microsensors; particle filtering (numerical methods); position control; radionavigation; tracking; wireless LAN; MEMS accelerometer; MEMS sensors; WLAN-based indoor positioning systems; map information; microsensors; particle filters; pedestrian tracking; wireless LAN; Accelerometers; Global Positioning System; Infrared sensors; Intelligent sensors; Magnetic sensors; Micromechanical devices; Particle filters; Particle tracking; Sensor systems; Wireless LAN; Indoor Positioning; MEMS; Particle Filter; Pedestrian Tracking;

fLanguage

English

Publisher

ieee

Conference_Titel

Positioning, Navigation and Communication, 2007. WPNC '07. 4th Workshop on

Conference_Location

Hannover

Print_ISBN

1-4244-0871-7

Electronic_ISBN

1-4244-0871-7

Type

conf

DOI

10.1109/WPNC.2007.353604

Filename

4167810