Advanced

Robust Phase-Based Positioning Using Massive MIMO with Limited Bandwidth

Li, Xuhong LU ; Batstone, Kenneth John LU ; Åström, Karl LU ; Oskarsson, Magnus LU ; Gustafson, Carl LU and Tufvesson, Fredrik LU (2018) 28th Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, 2017 In 28th Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2017.
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... (More)
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. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
in
28th Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2017.
pages
6 pages
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
conference name
28th Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, 2017
external identifiers
  • scopus:85045235326
DOI
10.1109/PIMRC.2017.8292362
language
English
LU publication?
yes
id
148b41ce-fae7-45ca-9764-2332754e9556
date added to LUP
2018-01-26 09:05:54
date last changed
2018-05-29 12:06:00
@inproceedings{148b41ce-fae7-45ca-9764-2332754e9556,
  abstract     = {This paper presents a robust phase-based positioning<br/>framework using a massive multiple-input multiple-output<br/>(MIMO) system. The phase-based distance estimates of MPCs<br/>together with other parameters are tracked with an Extended<br/>Kalman Filter (EKF), the state dimension of which varies with<br/>the birth-death processes of paths. The iterative maximumlikelihood<br/>estimation algorithm (RIMAX) and the modeling of<br/>dense multipath component (DMC) in the framework further<br/>enhance the quality of parameter tracking by providing an<br/>accurate initial state and the underlying noise covariance.<br/>The tracked MPCs are fed into a time-of-arrival (TOA) selfcalibration<br/>positioning algorithm for simultaneous trajectory<br/>and environment estimation. Throughout the positioning process,<br/>no prior knowledge of the surrounding environment and<br/>base station position is needed. The performance is evaluated<br/>with the measurement of a 2D complex movement, which was<br/>performed in a sports hall with an antenna array with 128 ports<br/>as base station using a standard cellular bandwidth of 40 MHz.<br/>The positioning result shows that the mean deviation of the<br/>estimated user equipment trajectory from the ground truth is<br/>13 cm. In summary, the proposed framework is a promising<br/>high-resolution radio-based positioning solution for current and<br/>next generation cellular systems.},
  author       = {Li, Xuhong and Batstone, Kenneth John and Åström, Karl and Oskarsson, Magnus and Gustafson, Carl and Tufvesson, Fredrik},
  booktitle    = {28th Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2017.},
  language     = {eng},
  month        = {02},
  pages        = {6},
  publisher    = {IEEE--Institute of Electrical and Electronics Engineers Inc.},
  title        = {Robust Phase-Based Positioning Using Massive MIMO with Limited Bandwidth},
  url          = {http://dx.doi.org/10.1109/PIMRC.2017.8292362},
  year         = {2018},
}