학술논문
Analysis and evaluation of a particle filter for Wi-Fi azimuth and position tracking
Document Type
Conference
Source
2016 International Conference on Indoor Positioning and Indoor Navigation (IPIN) Indoor Positioning and Indoor Navigation (IPIN), 2016 International Conference on. :1-6 Oct, 2016
Subject
Language
ISSN
2471-917X
Abstract
A tracking algorithm for position and azimuth estimation based on Wi-Fi fingerprinting with directional antennas is analyzed and evaluated. A particle filter is used for fusing received signal strength of Wi-Fi with sensor readings of an inertial measurement unit, which is combined with pedestrian dead reckoning. Two setups for different application scenarios were developed and evaluated in an industry-like environment. The proposed approach reduces position error by up to 58% in sub-optimal scenarios, such as fewer available access points or a single directional antenna. In addition, the estimation of azimuth of the subject improves up to 64%.