Skip to main content

Lund University Publications

LUND UNIVERSITY LIBRARIES

Urban Navigation with LTE using a Large Antenna Array and Machine Learning

Whiton, Russ LU ; Chen, Junshi LU ; Johansson, Tobias and Tufvesson, Fredrik LU orcid (2022) IEEE 95th Vehicular Technology Conference: (VTC2022-Spring)
Abstract
Channel fingerprinting entails associating a point in space with measured properties of a received wireless signal. If the propagation environment for that point in space remains reasonably static with time, then a receiver with no knowledge of its own position experiencing a similar channel in the future might reasonably infer proximity to the original surveyed point. In this article, measurements of downlink LTE Common Reference Symbols from one sector of an eNodeB are used to generate channel fingerprints for a passenger vehicle driving through a dense urban environment without line-of-sight to the transmitter. Channel estimates in the global azimuthal-delay domain are used to create a navigation solution with meter-level accuracy... (More)
Channel fingerprinting entails associating a point in space with measured properties of a received wireless signal. If the propagation environment for that point in space remains reasonably static with time, then a receiver with no knowledge of its own position experiencing a similar channel in the future might reasonably infer proximity to the original surveyed point. In this article, measurements of downlink LTE Common Reference Symbols from one sector of an eNodeB are used to generate channel fingerprints for a passenger vehicle driving through a dense urban environment without line-of-sight to the transmitter. Channel estimates in the global azimuthal-delay domain are used to create a navigation solution with meter-level accuracy around a city block. (Less)
Please use this url to cite or link to this publication:
author
; ; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
host publication
2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring)
pages
5 pages
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
conference name
IEEE 95th Vehicular Technology Conference: (VTC2022-Spring)
conference location
Helsinki, Finland
conference dates
2022-06-19 - 2022-06-22
external identifiers
  • scopus:85137782912
ISBN
978-1-6654-8243-1
DOI
10.1109/VTC2022-Spring54318.2022.9860844
language
English
LU publication?
yes
id
66536d2c-e50b-4603-9283-f7a06b4533f9
date added to LUP
2022-10-04 15:55:15
date last changed
2023-11-19 08:18:42
@inproceedings{66536d2c-e50b-4603-9283-f7a06b4533f9,
  abstract     = {{Channel fingerprinting entails associating a point in space with measured properties of a received wireless signal. If the propagation environment for that point in space remains reasonably static with time, then a receiver with no knowledge of its own position experiencing a similar channel in the future might reasonably infer proximity to the original surveyed point. In this article, measurements of downlink LTE Common Reference Symbols from one sector of an eNodeB are used to generate channel fingerprints for a passenger vehicle driving through a dense urban environment without line-of-sight to the transmitter. Channel estimates in the global azimuthal-delay domain are used to create a navigation solution with meter-level accuracy around a city block.}},
  author       = {{Whiton, Russ and Chen, Junshi and Johansson, Tobias and Tufvesson, Fredrik}},
  booktitle    = {{2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring)}},
  isbn         = {{978-1-6654-8243-1}},
  language     = {{eng}},
  month        = {{06}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  title        = {{Urban Navigation with LTE using a Large Antenna Array and Machine Learning}},
  url          = {{https://lup.lub.lu.se/search/files/125009895/VTS2022_machine_larnin_paper_2022_04_13_Final_Submission.pdf}},
  doi          = {{10.1109/VTC2022-Spring54318.2022.9860844}},
  year         = {{2022}},
}