WLAN-Based Pedestrian Tracking Using Particle Filters and Low-Cost MEMS Sensors
- Resource Type
- Conference
- Authors
- Wang, Hui; Lenz, Henning; Szabo, Andrei; Bamberger, Joachim; Hanebeck, Uwe D.
- Source
- 2007 4th Workshop on Positioning, Navigation and Communication Positioning, Navigation and Communication, 2007. WPNC '07. 4th Workshop on. :1-7 Mar, 2007
- Subject
- Communication, Networking and Broadcast Technologies
Signal Processing and Analysis
Computing and Processing
Geoscience
Aerospace
Fields, Waves and Electromagnetics
Particle tracking
Particle filters
Micromechanical devices
Magnetic sensors
Wireless LAN
Sensor systems
Global Positioning System
Infrared sensors
Accelerometers
Intelligent sensors
Indoor Positioning
Pedestrian Tracking
Particle Filter
MEMS
- Language
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.