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Dataset for Bluetooth 5.1 Direction of Arrival with non Uniform Rectangular Arrays

This paper presents a dataset for Bluetooth 5.1 direction of arrival (DoA). The dataset was generated with a specifically designed mathematical model of a non-uniform rectangular antenna array. The Python source files that generated the dataset are also provided. The dataset was conceived as a start...

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Detalles Bibliográficos
Autores principales: Piazzese, Nicolò Ivan, Perrone, Michele, Pau, Danilo Pietro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8607165/
https://www.ncbi.nlm.nih.gov/pubmed/34841021
http://dx.doi.org/10.1016/j.dib.2021.107576
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author Piazzese, Nicolò Ivan
Perrone, Michele
Pau, Danilo Pietro
author_facet Piazzese, Nicolò Ivan
Perrone, Michele
Pau, Danilo Pietro
author_sort Piazzese, Nicolò Ivan
collection PubMed
description This paper presents a dataset for Bluetooth 5.1 direction of arrival (DoA). The dataset was generated with a specifically designed mathematical model of a non-uniform rectangular antenna array. The Python source files that generated the dataset are also provided. The dataset was conceived as a starting point for developing and validating DoA algorithms for real-life scenarios. Unlike other datasets, it contains Bluetooth signals with not only varying intensity of additive white Gaussian noise, but also coherent interfering signals with random DoA coordinates. The dataset is divided into two branches, one consisting of pure sinusoidal tones and the second comprised of baseband Bluetooth signals. Since the codebase which generates the data is included, this dataset has a high reuse potential, and it can be modified to suit also other types of signals or different array topologies.
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spelling pubmed-86071652021-11-26 Dataset for Bluetooth 5.1 Direction of Arrival with non Uniform Rectangular Arrays Piazzese, Nicolò Ivan Perrone, Michele Pau, Danilo Pietro Data Brief Data Article This paper presents a dataset for Bluetooth 5.1 direction of arrival (DoA). The dataset was generated with a specifically designed mathematical model of a non-uniform rectangular antenna array. The Python source files that generated the dataset are also provided. The dataset was conceived as a starting point for developing and validating DoA algorithms for real-life scenarios. Unlike other datasets, it contains Bluetooth signals with not only varying intensity of additive white Gaussian noise, but also coherent interfering signals with random DoA coordinates. The dataset is divided into two branches, one consisting of pure sinusoidal tones and the second comprised of baseband Bluetooth signals. Since the codebase which generates the data is included, this dataset has a high reuse potential, and it can be modified to suit also other types of signals or different array topologies. Elsevier 2021-11-14 /pmc/articles/PMC8607165/ /pubmed/34841021 http://dx.doi.org/10.1016/j.dib.2021.107576 Text en © 2021 Published by Elsevier Inc. https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Data Article
Piazzese, Nicolò Ivan
Perrone, Michele
Pau, Danilo Pietro
Dataset for Bluetooth 5.1 Direction of Arrival with non Uniform Rectangular Arrays
title Dataset for Bluetooth 5.1 Direction of Arrival with non Uniform Rectangular Arrays
title_full Dataset for Bluetooth 5.1 Direction of Arrival with non Uniform Rectangular Arrays
title_fullStr Dataset for Bluetooth 5.1 Direction of Arrival with non Uniform Rectangular Arrays
title_full_unstemmed Dataset for Bluetooth 5.1 Direction of Arrival with non Uniform Rectangular Arrays
title_short Dataset for Bluetooth 5.1 Direction of Arrival with non Uniform Rectangular Arrays
title_sort dataset for bluetooth 5.1 direction of arrival with non uniform rectangular arrays
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8607165/
https://www.ncbi.nlm.nih.gov/pubmed/34841021
http://dx.doi.org/10.1016/j.dib.2021.107576
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