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  • 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
  • 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 .
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