Repository logo
  • Log In
    New user? Click here to register.Have you forgotten your password?
University College Dublin
    Colleges & Schools
    Statistics
    All of DSpace
  • Log In
    New user? Click here to register.Have you forgotten your password?
  1. Home
  2. College of Science
  3. School of Computer Science
  4. Computer Science Research Collection
  5. WLAN Indoor Ranging Dataset for Evaluation of Time of Arrival Estimation Algorithms
 
  • Details
Options

WLAN Indoor Ranging Dataset for Evaluation of Time of Arrival Estimation Algorithms

Author(s)
Makki, Ahmed  
Bleakley, Chris J.  
Uri
http://hdl.handle.net/10197/10558
Date Issued
2018-09-27
Date Available
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.
Sponsorship
Science Foundation Ireland
Type of Material
Conference Publication
Publisher
IEEE
Copyright (Published Version)
2018 IEEE
Subjects

Indoor localization

Positioning

WLAN

Time of arrival

Time difference of ar...

Web versions
http://ipin2018.ifsttar.fr/
Language
English
Status of Item
Not peer reviewed
Journal
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
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
File(s)
Loading...
Thumbnail Image
Name

212208.pdf

Size

130.26 KB

Format

Adobe PDF

Checksum (MD5)

91d960f61e701fd3e509b609d0447f43

Owning collection
Computer Science Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

For all queries please contact research.repository@ucd.ie.

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science

  • Cookie settings
  • Privacy policy
  • End User Agreement