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http://dx.doi.org/10.17662/ksdim.2022.18.3.001

Study on Distance Measurement of Beacon Using Extended Kalman Filter  

Jang, Gyuho (명지전문대 소프트웨어콘텐츠과)
Publication Information
Journal of Korea Society of Digital Industry and Information Management / v.18, no.3, 2022 , pp. 1-7 More about this Journal
Abstract
In this study, inaccurate RSSI values of beacons are corrected using extended Kalman filter. For the experiment, the beacon was manufactured using Arduino Uno board and HM-10 Bluetooth module. RSSI values according to the distance between beacon and the viewer were measured at intervals of 1m, 1.5m, 2m, 2.5m, 3m, 3.5m, 4m, 4.5m, and 5m. To remove the irregular signal pattern of the beacon, the extended Kalman filter was applied to obtain the average and standard deviation of the actual distance and the measured distance, and it was confirmed that more than 76.6% of the irregular signal pattern was removed after using the extended Kalman filter.In addition, through the smartphone app, it was confirmed that the distance accuracy between the beacon and the measurer was less than the actual distance and the measured distance within 2m, and the standard deviation was small.
Keywords
Beacon; Extended Kalman Filter; RSSI; Distance Measurement; Signal Pattern;
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