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An indoor variance-based localization technique utilizing the UWB estimation of geometrical propagation parameters

Brecht Hanssens UGent, David Plets UGent, Emmeric Tanghe UGent, Claude Oestges, Davy P. Gaillot, Martine Lienard, Taoyong Li UGent, Heidi Steendam UGent, Luc Martens UGent and Wout Joseph UGent (2018) IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION. 66(5). p.2522-2533
abstract
A novel localization framework is presented based on ultra-wideband (UWB) channel sounding, employing a triangulation method using the geometrical properties of propagation paths, such as time delay of arrival, angle of departure, angle of arrival, and their estimated variances. In order to extract these parameters from the UWB sounding data, an extension to the high-resolution RiMAX algorithm was developed, facilitating the analysis of these frequency-dependent multipath parameters. This framework was then tested by performing indoor measurements with a vector network analyzer and virtual antenna arrays. The estimated means and variances of these geometrical parameters were utilized to generate multiple sample sets of input values for our localization framework. Next to that, we consider the existence of multiple possible target locations, which were subsequently clustered using a Kim-Parks algorithm, resulting in a more robust estimation of each target node. Measurements reveal that our newly proposed technique achieves an average accuracy of 0.26, 0.28, and 0.90 m in line-of-sight (LoS), obstructed-LoS, and non-LoS scenarios, respectively, and this with only one single beacon node. Moreover, utilizing the estimated variances of the multipath parameters proved to enhance the location estimation significantly compared to only utilizing their estimated mean values.
Please use this url to cite or link to this publication:
author
organization
year
type
journalArticle (original)
publication status
published
keyword
DENSE MULTIPATH COMPONENTS, Channel modeling, channel sounding, indoor, Kim-Parks, localization, location estimation, location tracking, multipath clustering, positioning, RiMAX, ultra-wideband (UWB)
journal title
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION
IEEE Trans. Antennas Propag.
volume
66
issue
5
pages
12 pages
publisher
Ieee-inst Electrical Electronics Engineers Inc
place of publication
Piscataway
Web of Science type
Article
Web of Science id
000431450100036
ISSN
0018-926X
1558-2221
DOI
10.1109/TAP.2018.2810340
language
English
UGent publication?
yes
classification
U
id
8562146
handle
http://hdl.handle.net/1854/LU-8562146
date created
2018-05-17 14:40:47
date last changed
2018-05-17 14:48:34
@article{8562146,
  abstract     = {A novel localization framework is presented based on ultra-wideband (UWB) channel sounding, employing a triangulation method using the geometrical properties of propagation paths, such as time delay of arrival, angle of departure, angle of arrival, and their estimated variances. In order to extract these parameters from the UWB sounding data, an extension to the high-resolution RiMAX algorithm was developed, facilitating the analysis of these frequency-dependent multipath parameters. This framework was then tested by performing indoor measurements with a vector network analyzer and virtual antenna arrays. The estimated means and variances of these geometrical parameters were utilized to generate multiple sample sets of input values for our localization framework. Next to that, we consider the existence of multiple possible target locations, which were subsequently clustered using a Kim-Parks algorithm, resulting in a more robust estimation of each target node. Measurements reveal that our newly proposed technique achieves an average accuracy of 0.26, 0.28, and 0.90 m in line-of-sight (LoS), obstructed-LoS, and non-LoS scenarios, respectively, and this with only one single beacon node. Moreover, utilizing the estimated variances of the multipath parameters proved to enhance the location estimation significantly compared to only utilizing their estimated mean values.},
  author       = {Hanssens, Brecht and Plets, David and Tanghe, Emmeric and Oestges, Claude and Gaillot, Davy P. and Lienard, Martine and Li, Taoyong and Steendam, Heidi and Martens, Luc and Joseph, Wout},
  issn         = {0018-926X},
  journal      = {IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION},
  keyword      = {DENSE MULTIPATH COMPONENTS,Channel modeling,channel sounding,indoor,Kim-Parks,localization,location estimation,location tracking,multipath clustering,positioning,RiMAX,ultra-wideband (UWB)},
  language     = {eng},
  number       = {5},
  pages        = {2522--2533},
  publisher    = {Ieee-inst Electrical Electronics Engineers Inc},
  title        = {An indoor variance-based localization technique utilizing the UWB estimation of geometrical propagation parameters},
  url          = {http://dx.doi.org/10.1109/TAP.2018.2810340},
  volume       = {66},
  year         = {2018},
}

Chicago
Hanssens, Brecht, David Plets, Emmeric Tanghe, Claude Oestges, Davy P. Gaillot, Martine Lienard, Taoyong Li, Heidi Steendam, Luc Martens, and Wout Joseph. 2018. “An Indoor Variance-based Localization Technique Utilizing the UWB Estimation of Geometrical Propagation Parameters.” Ieee Transactions on Antennas and Propagation 66 (5): 2522–2533.
APA
Hanssens, B., Plets, D., Tanghe, E., Oestges, C., Gaillot, D. P., Lienard, M., Li, T., et al. (2018). An indoor variance-based localization technique utilizing the UWB estimation of geometrical propagation parameters. IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION, 66(5), 2522–2533.
Vancouver
1.
Hanssens B, Plets D, Tanghe E, Oestges C, Gaillot DP, Lienard M, et al. An indoor variance-based localization technique utilizing the UWB estimation of geometrical propagation parameters. IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION. Piscataway: Ieee-inst Electrical Electronics Engineers Inc; 2018;66(5):2522–33.
MLA
Hanssens, Brecht, David Plets, Emmeric Tanghe, et al. “An Indoor Variance-based Localization Technique Utilizing the UWB Estimation of Geometrical Propagation Parameters.” IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION 66.5 (2018): 2522–2533. Print.