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http://dx.doi.org/10.7236/JIIBC.2020.20.4.65

A Study on the Fusion of WiFi Fingerprint and PDR data using Kalman Filter  

Oh, Jongtaek (Dept. of Electronics, Hansung University)
Publication Information
The Journal of the Institute of Internet, Broadcasting and Communication / v.20, no.4, 2020 , pp. 65-71 More about this Journal
Abstract
In order to accurately track the trajectory of the smartphone indoors and outdoors, the WiFi Fingerprint method and the Pedestrian Dead Reckoning method are fused. The former can estimate the absolute position, but an error occurs randomly from the actual position, and the latter continuously estimates the position, but there are accumulated errors as it moves. In this paper, the model and Kalman Filter equation to fuse the estimated position data of the two methods were established, and optimal system parameters were derived. According to covariance value of the system noise and measurement noise the estimation accuracy is analyzed. Using the measured data and simulation, it was confirmed that the improved performance was obtained by complementing the two methods.
Keywords
Kalman Filter; PDR; Smartphone; WiFi Fingerprint;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
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