Indoor Positioning Using Federated Kalman Filter

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4950.pdf (268.71 KB)

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2018

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Ayabakan, T.
Kerestecioglu, F.

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Institute of Electrical and Electronics Engineers Inc.

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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.

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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

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

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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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https://doi.org/10.1109/SIU.2018.8404427
 https://hdl.handle.net/20.500.12469/4950

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