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Advisor(s)
Abstract(s)
Indoor localization systems play an important role to
track objects during their life-cycle in indoor environments, e.g.,
related to retail, logistics and mobile robotics. These positioning
systems use several techniques and technologies to estimate the
position of each object, and face several requirements such as
position accuracy, security, range of coverage, energy consumption
and cost. This paper describes a practical implementation
of a BLE (Bluetooth Low Energy) based localization system
that combines multilateration and Kalman filter techniques to
achieve a low cost solution, maintaining a good position accuracy.
The proposed approach was experimentally tested in an indoor
environment, with the achieved results showing a clear low cost
system presenting an increase of the estimated position accuracy
by 10% for an average error of 2.33 meters
Description
Keywords
Indoor positioning system Internet of things Bluetooth low energy Kalman filtering Multilateration
Citation
Oliveira, Leonardo Sestrem de; Rayel, Ohara Kerusauskas; Leitao, Paulo (2021). Low-cost indoor localization system combining multilateration and Kalman filter. In 30th IEEE International Symposium on Industrial Electronics, ISIE 2021. p. 1-6. ISBN 978-1-7281-9023-5