Akademik Veri Yönetim Sistemi
1st International Workshop on Digital Content & Smart Multimedia (DCSMart 2019), Lviv, Ukrayna, 23 - 25 Aralık 2019, cilt.2533, sa.1, ss.1-13, (Tam Metin Bildiri)
In this study, Earth’s magnetic field signals have been investigated to
determine mobile user’s location. In theory, Earth’s magnetic field does not
change during the day at a certain point. But, the various noise effects that are
exposed during the measurement causes deviations in the measured signal. In
this study; Kalman Filter, LOESS, Savitzky-Golay filters are adapted with two
different approaches to purge Earth’s magnetic field values from noise. KNearest Neighbour and Random Forest models have been trained with filtered
signals and the locations of the mobile user are determined. Relevant systems
have been tested by using RFKONDB which is existed in literature. The purpose of this study is to measure how these filters should be adapted to an
Earth’s magnetic field based indoor localization systems. Digital sensors, which
are integrated mobile devices, can use different measurement techniques. In a
heterogeneous environment, noise reduction filters can show a different effect.
Two different test scenarios and two different noise reduction models, with the
3 noise reduction techniques, are developed to find the best case.