DocumentCode :
2299903
Title :
A WiFi-aided reduced inertial sensors-based navigation system with fast embedded implementation of particle filtering
Author :
Atia, Mohamed Maher ; Korenberg, Michael ; Noureldin, Aboelmagd
Author_Institution :
Electr. & Comput. Eng. Dept., Queen´´s Univ., Kingston, ON, Canada
fYear :
2012
fDate :
10-12 April 2012
Firstpage :
1
Lastpage :
5
Abstract :
Global Positioning System (GPS) accuracy deteriorates significantly in dense urban areas and it is almost unavailable inside buildings. Thus, an alternative accurate navigation system for such GPS-denied systems is of great importance. In this paper, the popular IEEE 802.11 WLAN (WiFi) is utilized along with a MEMS-based reduced inertial sensors system (RISS) to provide an accurate and smooth positioning system for wheeled vehicles inside buildings based on WiFi received signal strength (RSS). The WiFi/RISS integration is performed based on a fast version of Mixture Particle Filter (PF) which is a nonlinear non-Gaussian filtering algorithm that handles well the complex MEMS inertial sensors and WiFi stochastic nature. The proposed system was physically implemented on an embedded system on an OMAP 600 MHz processor board and tested on a mobile robot. Results show that drifts of RISS are greatly removed and the scattered noisy WiFi positioning is significantly smoothed. Experiments show that the integrated system can provide smooth indoor positioning of 2m accuracy 60% of time.
Keywords :
indoor radio; inertial navigation; microsensors; mobile robots; nonlinear filters; particle filtering (numerical methods); smoothing methods; wireless LAN; GPS-denied systems; Global Positioning System; IEEE 802.11 WLAN; MEMS-based reduced inertial sensor system; OMAP; Wi-Fi received signal strength; Wi-Fi stochastic nature; Wi-Fi-RISS integration; Wi-Fi-aided-reduced inertial sensors; buildings; frequency 600 MHz; indoor positioning; mixture particle filtering; mobile robot; navigation system; nonlinear nonGaussian filtering algorithm; processor board; scattered-noisy Wi-Fi positioning; wheeled vehicles; Accuracy; Filtering; Global Positioning System; IEEE 802.11 Standards; Sensor systems; Embedded Navigation Systems; GPS; Particle Filtering; WiFi Positioning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mechatronics and its Applications (ISMA), 2012 8th International Symposium on
Conference_Location :
Sharjah
Print_ISBN :
978-1-4673-0860-1
Type :
conf
DOI :
10.1109/ISMA.2012.6215167
Filename :
6215167
Link To Document :
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