文章基本信息

标题：Mobile device-based Bluetooth Low Energy Database for range estimation in indoor environments
本地全文：下载
作者：Pavel Pascacio ; Joaquín Torres-Sospedra ; Antonio R .Jiménez 等
期刊名称：Scientific Data
电子版ISSN：2052-4463
出版年度：2022
卷号：9
期号：1
页码：1-16
DOI：10.1038/s41597-022-01406-2
语种：English
出版社：Nature Publishing Group
摘要：the demand to enhance distance estimation and location accuracy in a variety of Non-Line-of- Sight (NLOS) indoor environments has boosted investigation into infrastructure-less ranging and collaborative positioning approaches . Unfortunately, capturing the required measurements to support such systems is tedious and time-consuming, as it requires simultaneous measurements using multiple mobile devices, and no such database are available in literature . This article presents a Bluetooth Low Energy (BLE) database, including Received-Signal-Strength (RSS) and Ground-Truth (GT) positions, for indoor positioning and ranging applications, using mobile devices as transmitters and receivers . The database is composed of three subsets: one devoted to the calibration in an indoor scenario; one for ranging and collaborative positioning under Non-Line-of-Sight conditions; and one for ranging and collaborative positioning in real ofce conditions . As a validation of the dataset, a baseline analysis for data visualization, data fltering and collaborative distance estimation applying a path-loss based on the Levenberg-Marquardt Least Squares Trilateration method are included .