A method for mobile device positioning using a sensor network of BLE beacons, approximation of the RSSI value and artificial neural networks

A method for mobile device positioning using a sensor network of BLE beacons, approximation of the RSSI value and artificial neural networks

The paper considers the development of a method for positioning a mobile device using a sensor network of BLE-beacons, the approximation of RSSI values and artificial neural networks. The aim of the work is to develop a method for positioning small-scale industrial mechanization equipment for buildi...

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Bibliographic Details
Main Authors: A.V. Astafiev, D.V. Titov, A.L. Zhiznyakov, A.A. Demidov
Format: Article
Language:English
Published: Samara National Research University 2021-04-01
Series:Компьютерная оптика
Subjects:
indoor positioning
bluetooth low energy
kalman filter
approximation
artificial neural network
Online Access:http://computeroptics.ru/eng/KO/Annot/KO45-2/450215e.html

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