Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/63322
Title: Hybrid location estimation by fusing WLAN signals and inertial data
Authors: Wu, DJ
Xia, L
Mok, E 
Keywords: Received signal strength
Inertial sensors
SIR particle filter
Hybrid location estimation
Issue Date: 2014
Publisher: Springer
Source: In C Liu (Ed.), Principle and application progress in location-based services, p. 81-92. Cham: Springer, 2014 How to cite?
Abstract: Radio frequency (RF) signal propagation suffers from time-varying fading effects, and thus radio map-based localization systems are hard to hold the expected accuracy. Base stations (BS)-based architectures show us the probable solutions to overcome the negative impacts by producing adaptive radio maps. In this chapter, the adaptive approach that is presented in our previous work is adopted. To further mitigate the impacts of dynamic environments, we propose a hybrid location estimation method that fuses WLAN signals and inertial data through the sequential importance resampling (SIR) Particle Filter (PF) algorithm. Experimental results suggest that the hybrid method can provide more accurate location tracking, compared to previous algorithms, such as K weighted nearest neighbors (KWNN), initial radio map-based PF, adaptive radio map-based PF, pedestrian dead reckoning (PDR). And it nearly costs equivalent computational time, compared to those radio map-based PF algorithms.
URI: http://hdl.handle.net/10397/63322
ISBN: 3319040286 (electronic bk.)
9783319040288 (electronic bk.)
9783319040271 (print)
DOI: 10.1007/978-3-319-04028-8_7
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