Massive MIMO-based Localization and Mapping Exploiting Phase Information of Multipath Components
(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:
https://lup.lub.lu.se/record/de4f7f46-599a-4dca-8a63-f1dc2c1f205a
- author
- Li, Xuhong LU ; Leitinger, Erik LU ; Oskarsson, Magnus LU ; Åström, Karl LU and Tufvesson, Fredrik LU
- organization
-
- Communications Engineering (research group)
- ELLIIT: the Linköping-Lund initiative on IT and mobile communication
- Mathematics (Faculty of Engineering)
- Mathematical Imaging Group (research group)
- eSSENCE: The e-Science Collaboration
- Stroke Imaging Research group (research group)
- Department of Electrical and Information Technology
- publishing date
- 2019
- 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}}, }