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Massive MIMO-based Localization and Mapping Exploiting Phase Information of Multipath Components

Li, Xuhong LU ; Leitinger, Erik LU ; Oskarsson, Magnus LU orcid ; Åström, Karl LU orcid and Tufvesson, Fredrik LU orcid (2019) In IEEE Transactions on Wireless Communications 18(9). p.4254-4267
Abstract
In this paper, we present a robust multipath-based localization and mapping framework that exploits the phases of specular multipath components (MPCs) using a massive multiple-input multipleoutput (MIMO) array at the base station. Utilizing the phase information related to the propagation distances of the MPCs enables the possibility of localization with extraordinary accuracy even with limited bandwidth. The specular MPC parameters along with the parameters of the noise and the dense multipath component (DMC) are tracked using an extended Kalman filter (EKF), which enables to preserve the distance-related phase changes of the MPC complex amplitudes. The DMC comprises all non-resolvable MPCs, which occur due to finite measurement aperture.... (More)
In this paper, we present a robust multipath-based localization and mapping framework that exploits the phases of specular multipath components (MPCs) using a massive multiple-input multipleoutput (MIMO) array at the base station. Utilizing the phase information related to the propagation distances of the MPCs enables the possibility of localization with extraordinary accuracy even with limited bandwidth. The specular MPC parameters along with the parameters of the noise and the dense multipath component (DMC) are tracked using an extended Kalman filter (EKF), which enables to preserve the distance-related phase changes of the MPC complex amplitudes. The DMC comprises all non-resolvable MPCs, which occur due to finite measurement aperture. The estimation of the DMC parameters enhances the estimation quality of the specular MPCs and therefore also the quality of localization and mapping. The estimated MPC propagation distances are subsequently used as input to a distance-based localization and mapping algorithm. This algorithm does not need prior knowledge about the surrounding environment and base station position. The performance is demonstrated with real radio-channel measurements using an antenna array with 128 ports at the base station side and a standard cellular signal bandwidth of 40 MHz. The results show that high accuracy localization is possible even with such a low bandwidth. (Less)
Please use this url to cite or link to this publication:
author
; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
IEEE Transactions on Wireless Communications
volume
18
issue
9
pages
4254 - 4267
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
external identifiers
  • scopus:85072167608
ISSN
1536-1276
DOI
10.1109/TWC.2019.2922264
language
English
LU publication?
yes
id
de4f7f46-599a-4dca-8a63-f1dc2c1f205a
alternative location
https://arxiv.org/abs/1811.04494v2
date added to LUP
2019-06-18 17:04:58
date last changed
2022-05-11 18:41:15
@article{de4f7f46-599a-4dca-8a63-f1dc2c1f205a,
  abstract     = {{In this paper, we present a robust multipath-based localization and mapping framework that exploits the phases of specular multipath components (MPCs) using a massive multiple-input multipleoutput (MIMO) array at the base station. Utilizing the phase information related to the propagation distances of the MPCs enables the possibility of localization with extraordinary accuracy even with limited bandwidth. The specular MPC parameters along with the parameters of the noise and the dense multipath component (DMC) are tracked using an extended Kalman filter (EKF), which enables to preserve the distance-related phase changes of the MPC complex amplitudes. The DMC comprises all non-resolvable MPCs, which occur due to finite measurement aperture. The estimation of the DMC parameters enhances the estimation quality of the specular MPCs and therefore also the quality of localization and mapping. The estimated MPC propagation distances are subsequently used as input to a distance-based localization and mapping algorithm. This algorithm does not need prior knowledge about the surrounding environment and base station position. The performance is demonstrated with real radio-channel measurements using an antenna array with 128 ports at the base station side and a standard cellular signal bandwidth of 40 MHz. The results show that high accuracy localization is possible even with such a low bandwidth.}},
  author       = {{Li, Xuhong and Leitinger, Erik and Oskarsson, Magnus and Åström, Karl and Tufvesson, Fredrik}},
  issn         = {{1536-1276}},
  language     = {{eng}},
  number       = {{9}},
  pages        = {{4254--4267}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  series       = {{IEEE Transactions on Wireless Communications}},
  title        = {{Massive MIMO-based Localization and Mapping Exploiting Phase Information of Multipath Components}},
  url          = {{https://lup.lub.lu.se/search/files/96038683/main.pdf}},
  doi          = {{10.1109/TWC.2019.2922264}},
  volume       = {{18}},
  year         = {{2019}},
}