Robust Phase-Based Positioning Using Massive MIMO with Limited Bandwidth

Xuhong Li; Kenneth John Batstone; Karl Åström; Magnus Oskarsson; Carl Gustafson; Fredrik Tufvesson

doi:10.1109/PIMRC.2017.8292362

Robust Phase-Based Positioning Using Massive MIMO with Limited Bandwidth

Xuhong Li, Kenneth John Batstone, Karl Åström, Magnus Oskarsson, Carl Gustafson, Fredrik Tufvesson

Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review

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Abstract

This paper presents a robust phase-based positioning
framework using a massive multiple-input multiple-output
(MIMO) system. The phase-based distance estimates of MPCs
together with other parameters are tracked with an Extended
Kalman Filter (EKF), the state dimension of which varies with
the birth-death processes of paths. The iterative maximumlikelihood
estimation algorithm (RIMAX) and the modeling of
dense multipath component (DMC) in the framework further
enhance the quality of parameter tracking by providing an
accurate initial state and the underlying noise covariance.
The tracked MPCs are fed into a time-of-arrival (TOA) selfcalibration
positioning algorithm for simultaneous trajectory
and environment estimation. Throughout the positioning process,
no prior knowledge of the surrounding environment and
base station position is needed. The performance is evaluated
with the measurement of a 2D complex movement, which was
performed in a sports hall with an antenna array with 128 ports
as base station using a standard cellular bandwidth of 40 MHz.
The positioning result shows that the mean deviation of the
estimated user equipment trajectory from the ground truth is
13 cm. In summary, the proposed framework is a promising
high-resolution radio-based positioning solution for current and
next generation cellular systems.

Original language	English
Title of host publication	28th Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2017.
Publisher	IEEE - Institute of Electrical and Electronics Engineers Inc.
Number of pages	6
ISBN (Electronic)	978-1-5386-3532-2
ISBN (Print)	978-1-5386-3529-2
DOIs	https://doi.org/10.1109/PIMRC.2017.8292362
Publication status	Published - 2018 Feb 15
Event	28th Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, 2017 - Hotel Bonaventure, Montreal, Canada Duration: 2017 Oct 8 → 2017 Oct 13

Conference

Conference	28th Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, 2017
Abbreviated title	PIMRC
Country/Territory	Canada
City	Montreal
Period	2017/10/08 → 2017/10/13

Subject classification (UKÄ)

Communication Systems
Computer Vision and Robotics (Autonomous Systems)

Access to Document

10.1109/PIMRC.2017.8292362

PIMRC_2017 - FINALAccepted author manuscript, 1.8 MB

1 Doctoral Thesis (compilation)

Computer Vision without Vision: Methods and Applications of Radio and Audio Based SLAM
Batstone, K. J., 2020 Sept 8, Mathematics Centre for Mathematical Sciences Lund University Lund. 192 p.
Research output: Thesis › Doctoral Thesis (compilation)

Open Access
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Cite this

Li, X., Batstone, K. J., Åström, K., Oskarsson, M., Gustafson, C., & Tufvesson, F. (2018). Robust Phase-Based Positioning Using Massive MIMO with Limited Bandwidth. In 28th Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2017. IEEE - Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PIMRC.2017.8292362

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title = "Robust Phase-Based Positioning Using Massive MIMO with Limited Bandwidth",

abstract = "This paper presents a robust phase-based positioningframework using a massive multiple-input multiple-output(MIMO) system. The phase-based distance estimates of MPCstogether with other parameters are tracked with an ExtendedKalman Filter (EKF), the state dimension of which varies withthe birth-death processes of paths. The iterative maximumlikelihoodestimation algorithm (RIMAX) and the modeling ofdense multipath component (DMC) in the framework furtherenhance the quality of parameter tracking by providing anaccurate initial state and the underlying noise covariance.The tracked MPCs are fed into a time-of-arrival (TOA) selfcalibrationpositioning algorithm for simultaneous trajectoryand environment estimation. Throughout the positioning process,no prior knowledge of the surrounding environment andbase station position is needed. The performance is evaluatedwith the measurement of a 2D complex movement, which wasperformed in a sports hall with an antenna array with 128 portsas base station using a standard cellular bandwidth of 40 MHz.The positioning result shows that the mean deviation of theestimated user equipment trajectory from the ground truth is13 cm. In summary, the proposed framework is a promisinghigh-resolution radio-based positioning solution for current andnext generation cellular systems.",

author = "Xuhong Li and Batstone, {Kenneth John} and Karl {\AA}str{\"o}m and Magnus Oskarsson and Carl Gustafson and Fredrik Tufvesson",

year = "2018",

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day = "15",

doi = "10.1109/PIMRC.2017.8292362",

language = "English",

isbn = "978-1-5386-3529-2",

booktitle = "28th Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2017.",

publisher = "IEEE - Institute of Electrical and Electronics Engineers Inc.",

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note = "28th Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, 2017, PIMRC ; Conference date: 08-10-2017 Through 13-10-2017",

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Li, X, Batstone, KJ, Åström, K , Oskarsson, M , Gustafson, C & Tufvesson, F 2018, Robust Phase-Based Positioning Using Massive MIMO with Limited Bandwidth. in 28th Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2017.. IEEE - Institute of Electrical and Electronics Engineers Inc., 28th Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, 2017, Montreal, Canada, 2017/10/08. https://doi.org/10.1109/PIMRC.2017.8292362

Robust Phase-Based Positioning Using Massive MIMO with Limited Bandwidth. / Li, Xuhong; Batstone, Kenneth John; Åström, Karl et al.

28th Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2017.. IEEE - Institute of Electrical and Electronics Engineers Inc., 2018.

Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review

TY - GEN

T1 - Robust Phase-Based Positioning Using Massive MIMO with Limited Bandwidth

AU - Li, Xuhong

AU - Batstone, Kenneth John

AU - Åström, Karl

AU - Oskarsson, Magnus

AU - Gustafson, Carl

AU - Tufvesson, Fredrik

PY - 2018/2/15

Y1 - 2018/2/15

N2 - This paper presents a robust phase-based positioningframework using a massive multiple-input multiple-output(MIMO) system. The phase-based distance estimates of MPCstogether with other parameters are tracked with an ExtendedKalman Filter (EKF), the state dimension of which varies withthe birth-death processes of paths. The iterative maximumlikelihoodestimation algorithm (RIMAX) and the modeling ofdense multipath component (DMC) in the framework furtherenhance the quality of parameter tracking by providing anaccurate initial state and the underlying noise covariance.The tracked MPCs are fed into a time-of-arrival (TOA) selfcalibrationpositioning algorithm for simultaneous trajectoryand environment estimation. Throughout the positioning process,no prior knowledge of the surrounding environment andbase station position is needed. The performance is evaluatedwith the measurement of a 2D complex movement, which wasperformed in a sports hall with an antenna array with 128 portsas base station using a standard cellular bandwidth of 40 MHz.The positioning result shows that the mean deviation of theestimated user equipment trajectory from the ground truth is13 cm. In summary, the proposed framework is a promisinghigh-resolution radio-based positioning solution for current andnext generation cellular systems.

AB - This paper presents a robust phase-based positioningframework using a massive multiple-input multiple-output(MIMO) system. The phase-based distance estimates of MPCstogether with other parameters are tracked with an ExtendedKalman Filter (EKF), the state dimension of which varies withthe birth-death processes of paths. The iterative maximumlikelihoodestimation algorithm (RIMAX) and the modeling ofdense multipath component (DMC) in the framework furtherenhance the quality of parameter tracking by providing anaccurate initial state and the underlying noise covariance.The tracked MPCs are fed into a time-of-arrival (TOA) selfcalibrationpositioning algorithm for simultaneous trajectoryand environment estimation. Throughout the positioning process,no prior knowledge of the surrounding environment andbase station position is needed. The performance is evaluatedwith the measurement of a 2D complex movement, which wasperformed in a sports hall with an antenna array with 128 portsas base station using a standard cellular bandwidth of 40 MHz.The positioning result shows that the mean deviation of theestimated user equipment trajectory from the ground truth is13 cm. In summary, the proposed framework is a promisinghigh-resolution radio-based positioning solution for current andnext generation cellular systems.

U2 - 10.1109/PIMRC.2017.8292362

DO - 10.1109/PIMRC.2017.8292362

M3 - Paper in conference proceeding

SN - 978-1-5386-3529-2

BT - 28th Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2017.

PB - IEEE - Institute of Electrical and Electronics Engineers Inc.

T2 - 28th Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, 2017

Y2 - 8 October 2017 through 13 October 2017

ER -

Robust Phase-Based Positioning Using Massive MIMO with Limited Bandwidth

Abstract

Conference

Subject classification (UKÄ)

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Research output

Computer Vision without Vision: Methods and Applications of Radio and Audio Based SLAM

Cite this