Ayabakan, T.Kerestecioğlu, FezaKerestecioglu, F.2023-10-192023-10-1920189781538615010https://doi.org/10.1109/SIU.2018.8404427https://hdl.handle.net/20.500.12469/4950Aselsan;et al.;Huawei;IEEE Signal Processing Society;IEEE Turkey Section;Netas26th IEEE Signal Processing and Communications Applications Conference, SIU 2018 --2 May 2018 through 5 May 2018 -- --137780In this paper, one of the multi sensor fusion techniques, namely Federated Kalman Filter (FKF) performance is studied for Indoor Positioning problem. Kalman Filters having centralized and decentralized structures are widely used for outdoor positioning and navigation applications. Besides them, indoor positioning received large interest in recent years. In this study, decentralized FKF is applied in indoor positioning problem by taking its outdoor navigation performance into consideration. Simulations are done using distance measurements assumed to be priorly calculated. Results gathered via simulations are evaluated to be promising for future studies. © 2018 IEEE.trinfo:eu-repo/semantics/closedAccessData fusionFederated kalman filterIndoor positioningData fusionIndoor positioning systemsDecentralized structuresFederated Kalman filtersIndoor positioningMulti-sensor fusion techniquesOutdoor navigationOutdoor positioningKalman filtersConference Object1410.1109/SIU.2018.84044272-s2.0-850508293975