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Anchorless cooperative tracking using multipath channel information

Kulmer, Josef ; Leitinger, Erik LU ; Grebien, Stefan and Witrisal, Klaus (2018) In IEEE Transactions on Wireless Communications 17(4). p.2262-2275
Abstract

Highly accurate location information is a key facilitator to stimulate future services for the commercial and public sectors. Positioning and tracking of absolute positions of wireless nodes usually requires information provided from technical infrastructure, e.g., satellites or fixed anchor nodes, whose maintenance is costly and whose limited operating coverage narrows the positioning service. In this paper, we present an algorithm aimed at the tracking of absolute positions without using information from fixed anchors, odometers, or inertial measurement units. We perform radio channel measurements, in order to exploit position-related information contained in multipath components (MPCs). Tracking of the absolute node positions is... (More)

Highly accurate location information is a key facilitator to stimulate future services for the commercial and public sectors. Positioning and tracking of absolute positions of wireless nodes usually requires information provided from technical infrastructure, e.g., satellites or fixed anchor nodes, whose maintenance is costly and whose limited operating coverage narrows the positioning service. In this paper, we present an algorithm aimed at the tracking of absolute positions without using information from fixed anchors, odometers, or inertial measurement units. We perform radio channel measurements, in order to exploit position-related information contained in multipath components (MPCs). Tracking of the absolute node positions is enabled by the estimation of MPC parameters followed by the association of these parameters to a floorplan. To account for uncertainties in the floorplan and for propagation effects like diffraction and penetration, we recursively update the provided floorplan using the measured MPC parameters. We demonstrate the ability to localize two agent nodes without the employment of further infrastructure, using data from ultra-wideband channel measurements. Furthermore, we show the potential performance gain if also one fixed anchor is available, and we validate the algorithm for a range of different signal bandwidths and a number of nodes.

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author
; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
agent tracking, cooperative localization, indoor positioning, multipath radio propagation, Radio positioning
in
IEEE Transactions on Wireless Communications
volume
17
issue
4
pages
14 pages
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
external identifiers
  • scopus:85041213227
ISSN
1536-1276
DOI
10.1109/TWC.2018.2790936
language
English
LU publication?
yes
id
88db1c97-c306-4933-b91c-ea6d1db2dd76
date added to LUP
2018-05-03 08:37:31
date last changed
2022-03-17 07:20:45
@article{88db1c97-c306-4933-b91c-ea6d1db2dd76,
  abstract     = {{<p>Highly accurate location information is a key facilitator to stimulate future services for the commercial and public sectors. Positioning and tracking of absolute positions of wireless nodes usually requires information provided from technical infrastructure, e.g., satellites or fixed anchor nodes, whose maintenance is costly and whose limited operating coverage narrows the positioning service. In this paper, we present an algorithm aimed at the tracking of absolute positions without using information from fixed anchors, odometers, or inertial measurement units. We perform radio channel measurements, in order to exploit position-related information contained in multipath components (MPCs). Tracking of the absolute node positions is enabled by the estimation of MPC parameters followed by the association of these parameters to a floorplan. To account for uncertainties in the floorplan and for propagation effects like diffraction and penetration, we recursively update the provided floorplan using the measured MPC parameters. We demonstrate the ability to localize two agent nodes without the employment of further infrastructure, using data from ultra-wideband channel measurements. Furthermore, we show the potential performance gain if also one fixed anchor is available, and we validate the algorithm for a range of different signal bandwidths and a number of nodes.</p>}},
  author       = {{Kulmer, Josef and Leitinger, Erik and Grebien, Stefan and Witrisal, Klaus}},
  issn         = {{1536-1276}},
  keywords     = {{agent tracking; cooperative localization; indoor positioning; multipath radio propagation; Radio positioning}},
  language     = {{eng}},
  month        = {{04}},
  number       = {{4}},
  pages        = {{2262--2275}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  series       = {{IEEE Transactions on Wireless Communications}},
  title        = {{Anchorless cooperative tracking using multipath channel information}},
  url          = {{http://dx.doi.org/10.1109/TWC.2018.2790936}},
  doi          = {{10.1109/TWC.2018.2790936}},
  volume       = {{17}},
  year         = {{2018}},
}