BLE-Based Indoor Localization: Analysis of Some Solutions for Performance Improvement Article Swipe

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Filippo Milano , Helbert da Rocha , Marco Laracca , Luigi Ferrigno , António Espírito-Santo , José Salvadó , Vincenzo Paciello ·

YOU? · · 2024 · Open Access · · DOI: https://doi.org/10.3390/s24020376

This paper addresses indoor localization using an anchor-based system based on Bluetooth Low Energy (BLE) 5.0 technology, adopting the Received Signal Strength Indicator (RSSI) for the distance estimation. Different solutions have been proposed in the scientific literature to improve the performance of this localization technology, but a detailed performance comparison of these solutions is still missing. The aim of this work is to make an experimental analysis combining different solutions for the performance improvement of BLE-based indoor localization, identifying the most effective one. The considered solutions involve different RSSI signals’ conditioning, the use of anchor–tag distance estimation techniques, as well as approaches for estimating the unknown tag position. An experimental campaign was executed in a complex indoor environment, characterized by the continuous presence in the movement of working staff and numerous obstacles. The exploitation of multichannel transmission using RSSI signal aggregation techniques showed the greater performance improvement of the localization system, reducing the positioning error (from 1.5 m to about 1 m). The other examined solutions have shown a lesser impact in the performance improvement with a decrease or an increase in the positioning errors, depending on the considered combination of the adopted solutions.

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Type: article
Language: en
Landing Page: https://doi.org/10.3390/s24020376
PDF: https://www.mdpi.com/1424-8220/24/2/376/pdf?version=1704706254
OA Status: gold
Cited By: 23
References: 27
Related Works: 10
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DOI: https://doi.org/10.3390/s24020376

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Title: BLE-Based Indoor Localization: Analysis of Some Solutions for Performance Improvement

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Language: en

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Publication year: 2024

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Publication date: 2024-01-08

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Authors: Filippo Milano, Helbert da Rocha, Marco Laracca, Luigi Ferrigno, António Espírito-Santo, José Salvadó, Vincenzo Paciello

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Landing page: https://doi.org/10.3390/s24020376

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Concepts: Computer science, Environmental science

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Cited by: 23

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