Indoor Positioning Using Federated Kalman Filter
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Date
2018
Authors
Ayabakan, T.
Kerestecioglu, F.
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Institute of Electrical and Electronics Engineers Inc.
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Green Open Access
No
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No
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Abstract
In 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.
Description
Aselsan;et al.;Huawei;IEEE Signal Processing Society;IEEE Turkey Section;Netas
26th IEEE Signal Processing and Communications Applications Conference, SIU 2018 --2 May 2018 through 5 May 2018 -- --137780
26th IEEE Signal Processing and Communications Applications Conference, SIU 2018 --2 May 2018 through 5 May 2018 -- --137780
Keywords
Data fusion, Federated kalman filter, Indoor positioning, Data fusion, Indoor positioning systems, Decentralized structures, Federated Kalman filters, Indoor positioning, Multi-sensor fusion techniques, Outdoor navigation, Outdoor positioning, Kalman filters, data fusion, Indoor positioning, Outdoor navigation, indoor positioning, Federated Kalman filters, Data fusion, Federated Kalman filter, Federated kalman filter, Outdoor positioning, Decentralized structures, Indoor positioning systems, Multi-sensor fusion techniques, Kalman filters, federated Kalman filter
Turkish CoHE Thesis Center URL
Fields of Science
02 engineering and technology, 01 natural sciences, 0104 chemical sciences, 0202 electrical engineering, electronic engineering, information engineering
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4
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26th IEEE Signal Processing and Communications Applications Conference, SIU 2018
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1
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4
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