WLAN Indoor Ranging Dataset for Evaluation of Time of Arrival Estimation Algorithms
|Title:||WLAN Indoor Ranging Dataset for Evaluation of Time of Arrival Estimation Algorithms||Authors:||Makki, Ahmed
Bleakley, Christopher J.
|Permanent link:||http://hdl.handle.net/10197/10558||Date:||27-Sep-2018||Online since:||2019-05-21T08:10:22Z||Abstract:||This paper describes a dataset of WLAN (Wireless Local Area Network, WiFi, IEEE 802.11g/n) ranging signals recorded in an indoor environment for the purposes of time of arrival (TOA) estimation. The dataset contains signals captured in four experimental configurations, with two different clocking techniques, at ranges from 0.5 m to 25 m, and using two different symbols - the 802.11 standard long training sequence and an impulsive symbol. It is expected that the dataset will facilitate development and benchmarking of improved algorithms for TOA estimation in WLAN systems.||Funding Details:||Science Foundation Ireland||Type of material:||Conference Publication||Publisher:||IEEE||Copyright (published version):||2018 IEEE||Keywords:||Indoor localization; Positioning; WLAN; Time of arrival; Time difference of arrival||Other versions:||http://ipin2018.ifsttar.fr/||Language:||en||Status of Item:||Not peer reviewed||Is part of:||2018 International Conference on Indoor Positioning and Indoor Navigation (IPIN)||Conference Details:||The Ninth International Conference on Indoor Positioning and Indoor Navigation (IPIN 2018), Nantes, France, 24-27 September 2018||ISBN:||978-1-5386-5635-8/18|
|Appears in Collections:||Computer Science Research Collection|
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