20.500.12556/RUL-131850 MFAM Multiple Frequency Adaptive Model-based indoor localization method This paper presents MFAM (Multiple Frequency Adaptive Model-based localization method), a novel model-based indoor localization method that is capable of using multiple wireless signal frequencies simultaneously. It utilizes indoor architectural model and physical properties of wireless signal propagation through objects and space. The motivation for developing multiple frequency localization method lies in the future Wi-Fi standards (e.g., 802.11ah) and the growing number of various wireless signals present in the buildings (e.g., Wi-Fi, Bluetooth, ZigBee, etc.). Current indoor localization methods mostly rely on a single wireless signal type and often require many devices to achieve the necessary accuracy. MFAM utilizes multiple wireless signal types and improves the localization accuracy over the usage of a single frequency. It continuously monitors signal propagation through space and adapts the model according to the changes indoors. Using multiple signal sources lowers the required number of access points for a specific signal type while utilizing signals, already present in the indoors. Due to the unavailability of the 802.11ah hardware, we have evaluated proposed method with similar signals; we have used 2.4 GHz Wi-Fi and 868 MHz HomeMatic home automation signals. We have performed the evaluation in a modern two-bedroom apartment and measured mean localization error 2.0 to 2.3 m and median error of 2.0 to 2.2 m. Based on our evaluation results, using two different signals improves the localization accuracy by 18% in comparison to 2.4 GHz Wi-Fi-only approach. Additional signals would improve the accuracy even further. We have shown that MFAM provides better accuracy than competing methods, while having several advantages for real-world usage. adaptive localization indoor positioning model-based localization multi-frequency localization biomedical signal processing propagation modeling IEEE 802.11ah adaptivna lokalizacija lokacija v stavbah lokalizacija na podlagi modelov večfrekvenčna lokalizacija modeliranje propagacije IEEE 802.11ah true false true Angleški jezik Slovenski jezik Članek v reviji 2021-10-04 14:28:00 2021-10-04 14:28:00 2022-09-10 04:14:10 0000-00-00 00:00:00 2018 0 0 18 str. iss. 4, art. 963 Vol. 18 Mar. 2018 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 621.397:004.7 1424-8220 10.3390/s18040963 1537764803 RAZ_Tuta_Jure_2018.pdf RAZ_Tuta_Jure_2018.pdf 1 B0F33CD7A94806408BB93C7F2552D98B da63f19518f5fbbd379019f84815312d9333cb717143897818ce93052142761e a5e65dc0-250e-11ec-a523-00155dcfd717 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=149269 http://www.mdpi.com/1424-8220/18/4/963 1 38ff3061-250e-11ec-a523-00155dcfd717 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=149267 Fakulteta za računalništvo in informatiko 0 0 0