2D/3D indoor navigation based on multi-sensor assisted pedestrian navigation in Wi-Fi environments

Author

Wennan Chai ; Cheng Chen ; Edwan, E. ; Jieying Zhang ; Loffeld, Otmar

Author_Institution

Center for Sensorsystems (ZESS), Univ. of Siegen, Siegen, Germany

fYear

2012

fDate

3-4 Oct. 2012

Firstpage

1

Lastpage

7

Abstract

Because of the complementary nature of inertial measurement unit based pedestrian dead reckoning (PDR) and Wi-Fi positioning, the combination of both systems yields a synergetic effect resulting in higher navigation performance. Barometric sensors can provide height information for 2D/3D indoor navigation applications in multi-floor environments. In this paper, we explore the multi-sensor assisted pedestrian navigation. A PDR/Wi-Fi/barometer integrated system is presented. The adaptive Kalman filter is employed for sensor fusion, which can adapt dynamic noise statistics. One field experiment has been conducted in a multi-floor building. The numerical results are presented to show the navigation performance of the integrated system.

Keywords

Kalman filters; adaptive filters; barometers; indoor radio; navigation; sensor fusion; wireless LAN; 2D-3D indoor navigation; Kalman filter; PDR; PDR/Wi-Fi/barometer integrated system; Wi-Fi environments; Wi-Fi positioning; barometric sensors; integrated system; multifloor building; multifloor environments; multisensor assisted pedestrian navigation; navigation performance; pedestrian dead reckoning; sensor fusion; Acceleration; Databases; IEEE 802.11 Standards; Kalman filters; Navigation; Noise; Trajectory; 2D/3D indoor navigation; Wi-Fi fingerprinting; adaptive Kalman filtering; barometric height; pedestrian dead reckoning;

fLanguage

English

Publisher

ieee

Conference_Titel

Ubiquitous Positioning, Indoor Navigation, and Location Based Service (UPINLBS), 2012

Conference_Location

Helsinki

Print_ISBN

978-1-4673-1908-9

Type

conf

DOI

10.1109/UPINLBS.2012.6409776

Filename

6409776