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

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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.
Keywords
DENSE MULTIPATH COMPONENTS, Channel modeling, channel sounding, indoor, Kim-Parks, localization, location estimation, location tracking, multipath clustering, positioning, RiMAX, ultra-wideband (UWB)

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Citation

Please use this url to cite or link to this publication:

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.
@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},
}

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